For the sake of attendance planning, the organizing committee has decided to release a detailed Workhop program. A search tool has been also made available to retrieve the details (title, authors, slot, day, session, room) of all accepted workshop papers.
The detailed program with complete session info is published and accessible via INFOVAYA
The shortcodes 0A, 0B, …, 3A refer to the rooms of the Euskalduna Congress Hall. Please check this website for further details about them.
All sessions with papers are scheduled for the oral presentations of their assigned papers. In accordance with the presentation guidelines, the slotting for presenting each paper will be decided by Workshop authors. We refer to the detailed instructions in this link for further details about the materials, connectors and requirements for oral and poster presentations.
The table below allows searching by author name, title or submission number to find the allocation (session, room, day and slot) of the presentation of the paper(s).
Unless proven exceptional circumstances, no changes in the assignment of papers to slots will be allowed.
Submission Nr | Session | ROOM | DAY | SLOT | TRACK | Authors | Title |
---|---|---|---|---|---|---|---|
1274 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Araujo, Paulo; Noureldin, Aboelmagd; Givigi, Sidney | Robust Land Vehicle Positioning with Invariant Kalman Filters and Map-Based Corrections |
1634 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | von Einem, Cornelius; Cramariuc, Andrei; Siegwart, Roland; Cadena, Cesar; Tschopp, Florian | Path-Constrained State Estimation for Rail Vehicles |
1225 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Kim, Jeong-Hoon; Kong, Seung-Hyun; Sun, Min-Hyeok | Vehicle Localization Network using Simultaneous Coarse and Fine Visual Map Matching |
1188 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | YIN, Huilin; Sun, Mina; Zhang, Linchuan; Yan, Jun; Betz, Johannes | Ground-optimized SLAM with Hierarchical Loop Closure Detection in Large-scale Environment |
399 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Matute, Jose; Rodriguez-Arozamena, Mario; Pérez Rastelli, Joshué; Karimoddini, Ali | Sensor Fusion-Based Localization Framework for Autonomous Vehicles in Rural Forested Environments |
970 | AGP01 | 5G | 27 | 10:00-11:30 | Accurate Global Positioning | Zhang, Liang; Chen, Pei; Zheng, Zhentan; Chen, Shitao; Zheng, Nanning | A Coarse-to-Fine 2D Lidar Localization based on Mento-Carlo and Iterative Closet Point |
241 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Fu, Wufei; Zhuo, Guirong; Lu, Xiong; Tang, Xiao; Jia, Ruoheng | UWB Range-Assisted Monocular Visual Localization System for Underground Parking Lots |
1657 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Endo, Yuki; Kamijo, Shunsuke | Self-Localization Error Evaluation from Map Structure based on Autocorrelation Values |
975 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Wang, Shiteng; Shen, Yanqing; Zhang, Liang; Chen, Pei; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Direction-Based Feature Selection for Efficient LiDAR Odometry in Urban Environment |
507 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Noizet, Maxime; Xu, Philippe; BONNIFAIT, Philippe | Pole-based vehicle localization with vector maps: a camera-LiDAR comparative study |
1042 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Barros, Tiago; Garrote, Luis; Aleksandrov, Martin Damyanov; Premebida, Cristiano; Nunes, Urbano J. | TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition |
196 | AGP02 | 5G | 27 | 11:30-13:00 | Accurate Global Positioning | Song, Junlin; Sanchez Cuevas, Pedro; Richard, Antoine; Olivares-Mendez, Miguel | GPS-aided Visual Wheel Odometry |
712 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Li, Rui; Li, Yuhang; Wang, Yafei; Zhang, Ruitao; Liu, Xulei | DynamicRemover: Constructing Static Map with Object Dynamic Probability Analysis |
1391 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Martin Rodriguez, Aitor; Khademi, Naeem | Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications |
589 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Wu, Zhihong; Wang, Huaide; An, Hao; Zhu, Yuan; Xu, Ruidong; Lu, Ke | DPC-SLAM: Discrete Plane Constrained VSLAM for Intelligent Vehicle in Road Environment |
512 | AGP03 | 5G | 27 | 15:00-16:00 | Accurate Global Positioning | Al Hage, Joelle; Salvatico, Nicolò; BONNIFAIT, Philippe | High Integrity Localization of Intelligent Vehicles with Students T Filtering and Fault Exclusion |
485 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Alatorre, Armando; Castillo, Pedro; LOZANO, Rogelio | Control architecture for catching a fixed-wing drone using a ground vehicle |
520 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Theunissen, Mathilde; POUSSEUR, Hugo; Castillo, Pedro; Victorino, Alessandro | Cooperative architecture using air and ground vehicles for the search and recognition of targets |
738 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Liu, Chang; Szirányi, Tamás | Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Cooperation between Drones and Satellites |
1087 | ATM01 | 0C | 26 | 11:00-12:00 | Air Transport | Liang, Xinyu; Ma, Xiaoliang | AVIATOR: fAst Visual perceptIon and Analytics for drone-based Traffic OpeRations |
659 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Johnson, Demetrius; Schall, Jonathan; Sauer, Ryan; Pellegrini, Olivia; Mottakin, Khairul; Shen, Jie; Song, Zheng | Drone-Car Collaboration: An Emerging Domain for Intelligent Transportation Systems |
667 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Xue, Chaozhong; Dong, Yongqi; Liu, Jiaqi; Liao, Yijun; Li, Lingbo | Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm |
1227 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Yang, Yang; Zhang, Yishan; Qian, Shengsheng; Zhang, Minghua; Cai, Kaiquan | Transformer based Multi-modal Memory-augmented Masked Network for Air Crisis Event Detection |
181 | ATM02 | 0C | 26 | 12:00-13:00 | Air Transport | Cao, Yue; ShangGuan, Wei; Zhang, Lu; Zha, Yuanyuan; Chai, Linguo | Operation Optimization and Simulation Test of Passenger Transport System in Airport Environment |
1557 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Li, Tingyu; zhang, xiang; Tang, Zihao; liu, yudie | AGVS-T22: A New Mutilple Object Tracking Dataset for Airport Ground Video Surveillance |
553 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Sung, Minjun; Karumanchi, Sambhu Harimanas; Hiltebrandt-McIntosh, Christophe; Kim, Hunmin; Hovakimyan, Naira | Tackling Airspace Congestion: A Scalable and Robust Framework for End-to-End UAS Traffic Management |
1612 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Hui, Yi; Cai, Kaiquan; Zhang, Minghua; Qian, Shengsheng; Yang, Yang | ATCBERT:Few-shot Intent Recognition for Air Traffic Control Instruction Understanding |
198 | ATM03 | 0D | 26 | 12:00-13:00 | Air Transport | Su, Jiaming; Hu, Minghua; Yin, Jianan; Liu, Yingli | Research on Apron Control: Traffic Complexity and Control Area Division Method |
1534 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Zhang, Ruicong; Hu, Jia | Spatial Risk Distribution: A quantitative approach for assessing hazards from space |
630 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Yabe, Takuma; YANO, HIROAKI | Haptic Interface for Proximity Object Recognition Considering Hand Structure |
745 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Yuhas, Michael; Easwaran, Arvind | Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems |
875 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Zhao, Chengxiang; wenhao, yu; Ma, Xiaohan; ZHAO, YUZHUANG; Li, Boqi; WANG, WEIDA; Hu, Jia; Wang, Hong; Zhao, Ding | Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance |
1374 | AVSS01 | 3B | 27 | 11.30-13.00 | Advanced vehicle safety | Yamada, Naoya; Honda, Kohei; Okuda, Hiroyuki; Suzuki, Tatsuya; nakahira, yorie | Bayesian Network-based Probabilistic Constraints for Safe Autonomous Driving in Occlusion Environments |
1317 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | YANG, PEIWEN; Wen, Weisong | Tightly Joining Positioning and Control for Trustworthy Unmanned Aerial Vehicles Based on Factor Graph Optimization in Urban Transportation |
1438 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | Tariq, Faizan M.; Isele, David; Baras, John; Bae, Sangjae | RCMS: Risk-Aware Crash Mitigation System for Autonomous Vehicles |
339 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | Zipfl, Maximilian; Spickermann, Sven; Zöllner, J. Marius | Utilizing Hybrid Trajectory Prediction Models to Recognize Highly Interactive Traffic Scenarios |
1216 | AVSS02 | 3B | 27 | 17.00-18.00 | Advanced vehicle safety | Li, Shizhen; Yang, Shuo; Wang, Liwen; Huang, Yanjun | Safe Reinforcement Learning for Lane-changing with comprehensive analysis of safety detection |
528 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Qi, Yi; Dong, Yi; Khastgir, Siddartha; Jennings, Paul; Zhao, Xingyu; Huang, Xiaowei | STPA for Learning-Enabled Systems: A Survey and a New Practice |
1452 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Söderlund, August; Jiang, Frank J.; Narri, Vandana; Alanwar, Amr; Johansson, Karl H. | Data-Driven Reachability Analysis of Pedestrians Using Behavior Modes |
817 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Wang, Zhiyong; Du, Shaoyi; Tian, Zhiqiang | Domain Adaptative Driving Behavior Recognition through Skeleton-guided Domain Adversarial Learning |
1136 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Xu, Tian; Yan, Xuerun; Zhang, Zhen; Hu, Jia; Lai, Jintao | A critical scenario filter to accelerate testing for automated vehicles |
298 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Braun, Thilo; Fuchs, Julian; Reisgys, Felix; Ries, Lennart; Plaum, Johannes; Schütt, Barbara Ulrike; Sax, Eric | A Review of Scenario Similarity Measures for Validation of Highly Automated Driving |
1409 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Fonseca Alexandre de Oliveira, Lucas; Bernhard, Johannes Norbert; Lars, Schories; Martin, Meywerk; Sax, Eric | Enhancing CARLA traffic simulation with pedestrian animation for testing perception functions in automated driving |
686 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Ramic, Amra; Kugele, Stefan | Simulation-based Support for Semi-automated Automotive Safety Analysis |
1223 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Li, Erhang; Yu, Huilong; Xi, Junqiang; Corno, Matteo; Savaresi, Sergio M. | Integrated LTV-MPC Collision Avoidance of Autonomous Tractor Semi-trailers in Emergency Scenarios |
304 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Yarza, Irune; Agirre, Irune; Mugarza, Imanol; Nitsche, Gregor; Uven, Patrick; Orbegozo, Juan Maria | Towards a Contract-Based Definition of Update-Compatibility Modelling Safety Integration Criteria |
125 | AVSS04 | 0D | 28 | 8.00-9.30 | Advanced vehicle safety | Rigoll, Philipp; Petersen, Patrick; Stage, Hanno; Ries, Lennart; Sax, Eric | Focus on the Challenges: Analysis of a User-Friendly Data Search Approach with CLIP in the Automotive Domain |
438 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Zheng, Han; ma, xihan; Kong, Weiwei | A Fast and Accurate Collision Detection Method During Automated Valet Parking for Autonomous Vehicle in Narrow Space |
706 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Yang, Peng; Jin, Xufeng; Hu, Yonghui; Wang, Yibing; Zhao, Mingming | Coordinated Control of Internal Boundaries and Signal Timing at An Isolated Intersection for Lane-free Traffic of CAVs |
715 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Chaanine, Tommy; Ferrando, Angelo; Pasquale, Cecilia Caterina; Pastore, Vito Paolo; Sadeghi Garjan, Mahyar; Siri, Silvia | A control-oriented highway traffic model with multiple clusters of CAVs |
707 | CAV01 | 0C | 25 | 11.00-12.00 | Connected Autonomous Vehicle | Davoodi, Ali; Wallace, Mark; Harabor, Daniel; Ngoduy, Dong | Optimal Routing for Autonomous Vehicles in a Mixed Congested Network Considering Fairness |
1581 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | Chang, Entao; Fu, Jiawei; Zong, Ziqi; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | A Multi-Stage Trajectory Planning System for Autonomous Vehicle in Mixture Scenarios |
1631 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | Wang, Runsheng; Zhang, Songyi; Fu, Jiawei; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Vehicle-Centered Global Path Generation for Autonomous Vehicle |
1328 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | chen, linbin; Liu, Yafei; Sun, Zhanbo; yang, lei | Path Tracking Control for Connected Automated Vehicle Using Lateral Stability Envelope at Handling Limits |
925 | CAV02 | 0C | 25 | 12.00-13.00 | Connected Autonomous Vehicle | Zhong, Yuanxin; Peng, Huei | Driving with caution about fully occluded areas based on occupancy maps |
394 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Xhoxhi, Edmir | Application-Oriented Resource Orchestration Algorithm for Connected Vehicles |
432 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Ning, Pengfei; Wang, Hongwei; Tang, Tao; Zhu, Li; Shuomei, Ma | AoI-driven Cluster-based Spectrum Sharing in Internet of Construction Equipment with Multi-Agent Reinforcement Learning |
129 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Schiegg, Florian Alexander; Rueeck, Anna-Lisa; Gamerdinger, Jörg; Tchouankem, Hugues; Xhoxhi, Edmir; Volk, Georg | Accounting for the Special Role of Infrastructure-assisted Collective Perception |
1439 | CAV03 | 0C | 25 | 17.00-18.00 | Connected Autonomous Vehicle | Idoudi, Hassan; Ameli, Mostafa; nguyen-van-phu, cyril; ZARGAYOUNA, Mahdi; rachedi, abderrezak | Streamlining Disaster Response: A Benchmark Study on Population Evacuation Planning with Telecommunication Network |
427 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Zhong, Hao; Wang, Ling; MA, Wanjing | A Semi-Distributed Influence-Aware Clustering Algorithm for Enhancing Traffic Safety in VANETs |
1099 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Liu, Ziqi; Feng, Weiyang; Liu, Yu; Wang, Xiaoli; Lin, Siyu | Demand-based Target Selection and Resource Trade for Parked-Vehicle Assisted Computing |
25 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Ye, Lei; Li, Jianzhong; Zeng, Lingqiu; Han, Qingwen; Liu, Enhao | 3D Channel Model Parameters Optimizing For C-V2X Communication Scenarios With K-Means++ And Genetic Algorithm |
820 | CAV04 | 5H | 26 | 17.00-18.00 | Connected Autonomous Vehicle | Lobo, Silas; Barbosa da Silva, Leonardo; Facchi, Christian | To Cluster or not to Cluster: A VRU Clustering Based on V2X Communication |
1519 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Itsuji, Hiroaki; Uezono, Takumi; Toba, Tadanobu; Kundu, Subrata | An Intelligent Diagnostic Technique for Reliable Operation of Edge AI |
1013 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Lampe, Bastian; Reiher, Lennart; Zanger, Lukas; Woopen, Timo; van Kempen, Raphael; Eckstein, Lutz | RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS |
532 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Feng, Yongwei; Hu, Jia; Zhou, Cheng; Zeng, Juncheng; Liu, Tangzhi; Wang, Haoran | Infrastructure-Enabled Traffic Speed Harmonization Under Partially Connected Environment |
130 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Tong, Wei; Dong, Zesong; Li, Jian | Interoperability Solution for Blockchain-Based Internet of Vehicles Driven by Multiple Oracles |
545 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Jing, Junbo; Jingxuan Liu, Jingxuan; Huang, Chunan; Kolaric, Patrik; qu, shen; Wang, Lei | A practical MPC method for autonomous driving longitudinal dynamic control's real-world challenges |
1064 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Dang, Ni; Shi, Tao; Zhang, Zengjie; Jin, Wanxin; Leibold, Marion; Buss, Martin | Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning |
222 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Gong, Wenwu; Huang, Zhejun; Yang, Lili | LSPTD: Low-rank and spatiotemporal priors enhanced Tucker decomposition for internet traffic data imputation |
1670 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Ukyo, Riki; Amano, Tatsuya; Hamada, Rizk; Yamaguchi, Hirozumi | Pedestrian Tracking using 3D LiDARs - Case for Proximity Scenario |
642 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Fayed, Lynn; Nilsson, Gustav; Geroliminis, Nikolas | A macroscopic modelling framework for the dynamic pricing of pool ride-splitting vehicles in bus lanes |
973 | CON01 | 0B | 28 | 8.00-9.30 | Simulation and Control | Wei, Yaxin; Ning, Haijing; Chen Rumeng, Rumeng; Xiao, Yukun; An, Yisheng | A Novel Approach to Conflict-free Vehicle Scheduling of Unsignalized Intersection based on Heuristic Algorithm |
1370 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Cheng, Cheng; Wang, Wei; Weihong, Shi; Li, Xinghua | A Lane-use and Signal Optimization Model for Mixed Traffic Isolated Intersection Considering Dedicated Autonomous Vehicle Lane and Protected Phase: A Genetic Algorithm Approach |
778 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Cheng, Ken | GC-INF: A Novel Adaptive Traffic Control System using Machine Learning for Turning Ratio Predictions |
1311 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Fahmy, Ahmed H.; CHAWA, Marwan; Almehio, Yasser | Parametrizable Model for Thermal Behavior Estimation and Control of LED Automotive Headlamps using Reinforcement Learning |
989 | CON02 | 0B | 28 | 10.00-11.00 | Simulation and Control | Koliai, Anis; Bazeille, Stephane; Basset, Michel; Orjuela, Rodolfo | How does the Definition of Tracking Errors Affect the Behavior of Vehicle Lateral Control? |
606 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Dai, Rui; Liu, Wenjun; Bing, Zhenshan; Knoll, Alois | Variable Weight Model Predictive Contour Control for Autonomous Tracking Based on Reinforcement Learning and Nonlinear Disturbance Observer |
1019 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Fiedler, David; Mrkos, Jan | Large-scale Ridesharing DARP Instances Based on Real Travel Demand |
1575 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Ascher, Dominik | Model-based Design of Integrated Transportation Systems Using Approximate Dynamic Programming |
366 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Liu, YeCheng; chen, xu; Xu, Yongxin | Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network |
281 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Lin, Shichao; Xu, Jingwen; Zheng, Chenhao; Yang, Dakai; Ruan, Sheng; Li, Ruimin | Effects of Dynamic User-optimal Routing on Network-level Signal Predictive Control |
557 | CON03 | 0B | 28 | 11.00-12.30 | Simulation and Control | Li, Xiaocan; Mercurius, Ray Coden; Taitler, Ayal; Wang, Xiaoyu; Noaeen, Mohhamad; Scott Patrick Sanner, Scott; Abdulhai, Baher | Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization |
1327 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Zhao, Zhiguo; Li, Yong; Chen, Yunli; Zhang, Xiaoting; Tian, Rui | A Spatial Alignment Framework Using Geolocation Cues for Roadside Multi-View Multi-Sensor Fusion |
500 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Strohbeck, Jan; Maschke, Sebastian; Mertens, Max Bastian; Buchholz, Michael | Graph-based Trajectory Prediction with Cooperative Information |
1005 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Saidi, lyes, saidi lyes; TALJ, Reine; Adouane, Lounis | On-ramp Merging on Highway for Cooperative Automated Vehiclesbased on an Online Reconfigurable Formation Control Approach |
1601 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Wang, Shuyuan | Velocity Planning for Multi-Vehicle Systems via Distributed Optimization |
1353 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Yang, Xinwei; Lefeber, Erjen; WU, Chaozhong; HE, Yi; Zheng, Zhiwen | Adaptive Controller Design for Heterogeneous Cooperative Adaptive Cruise Control System with Uncertain Vehicle Parameters |
1250 | CTS01 | 0D | 25 | 14.00-15.30 | Cooperative systems | Narri, Vandana; Alanwar, Amr; Mårtensson, Jonas; Norén, Christoffer; Johansson, Karl H. | Shared Situational Awareness with V2X Communication and Set-membership Estimation |
1074 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Wang, Yuanzhe; Zhao, Chunyang; Wang, Haoyi; Zhang, Jun; Wang, Danwei | Secure Localization of Autonomous Articulated Vehicles: Attack Detection and Recovery |
1621 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Jackson, Elanor; Sedigh Sarvestani, Sahra; King, Justin; Hurson, Ali R. | Agent-Based Modeling for Analysis of Cyber Attacks on the Intelligent Transportation System |
1055 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Xu, Jia; Yao, Shengyue; Yu, Yi; Wang, Fei-Yue; Lin, Yilun | DeMaaS: Efficient Service Distribution for MaaS via Decentralized Collaboration and Optimization |
208 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | De Vincenzi, Marco; Bodei, Chiara; Costantino, Gianpiero; Matteucci, Ilaria; Monreale, Anna | Data collection in automotive: a deep analysis of carmakers' mobile app privacy policies |
1086 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Wen, Xiamei; Krishnakumari, Panchamy; Hoogendoorn, Serge | A Data Protection Method for Short-term Traffic Prediction with Applications to Network Active Mode Operations |
717 | CYB01 | 3B | 28 | 8.00-9.30 | Cybersecurity | Grimm, Daniel; Lautenbach, Aljoscha; Almgren, Magnus; Olovsson, Tomas; Sax, Eric | Gap analysis of ISO/SAE 21434 Improving the automotive cybersecurity engineering life cycle |
1335 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Li, Yaqiu; Zhang, Junyi; Lu, Yunpeng | Nudging Drivers towards Utilizing Driver Tracking: Application of Behavioral Interventions Architecture |
610 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Monninger, Thomas; Weber, Andreas Silvius; Staab, Steffen | Semantic Map Learning of Traffic Light to Lane Assignment based on Motion Data |
1021 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Trinci, Tomaso; Bianconcini, Tommaso; Sarti, Leonardo; Taccari, Leonardo; Sambo, Francesco | Cross-model temporal cooperation via saliency maps for efficient recognition and classification of relevant traffic lights |
156 | DAS01 | 0D | 25 | 15.30-16.30 | Driver Assistance Systems | Hsieh, Feng-An; Lin, Huei-Yung; Wang, Chieh-Chih | An End-To-End System For Road Agent Behavior Classification |
406 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Liu, Yuying; Du, Shaoyi; Guo, Qinbo; Zhao, Zhiyue; Tian, Zhiqiang; Zheng, Nanning | Structure Consistent Unsupervised Domain Adaptation for Driver Behavior Recognition |
297 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Eisemann, Leon; Maucher, Johannes | Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds |
72 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Zhao, Nanbin; Wang, Xinran; Wang, Bohui; Zhang, Jialu; Lu, Yun; Su, Rong | A Lane Change Assisting Framework for Large Vehicles |
1332 | DAS02 | 0D | 25 | 17.00-18.00 | Driver Assistance Systems | Fang, Ruiqi; liang, jinhao; Yin, Guodong; Li, Ang; Li, Xinxiu; Lu, Yanbo | An Innovative Robust $mathcal{H}_infty$ Adaptive Cruise Control Method with Input Constraint Considering Tire-road Friction Coefficient |
210 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Ucar, Seyhan; Mercer, Ryan; Keogh, Eamonn | Tailgating Behavior Detection On Rear Vehicles |
972 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Eggert, Julian; Kreutz, Karsten; Gaumann, Lina; Adamy, Jürgen | How do Drivers Take a Curve? The Comfort Factor Model (CFM) |
1166 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Nambata, Masaki; Shimomura, Kota; Hirakawa, Tsubasa; Yamashita, Takayoshi; Fujiyoshi, Hironobu | Human-like Guidance with Gaze Estimation and Classification-based Text Generation |
1282 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Ulmen, Jonas; Wellstein, Marc; Mark, Christoph; SUNDARAM, GANESH; Görges, Daniel; Reich, Jan | Stochastic MPC with Bayesian Network Risk Allocation for Autonomous Driving |
1380 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Nadarajan, Parthasarathy; Botsch, Michael; Sardina, Sebastian | Continuous Probabilistic Motion Prediction based on Latent Space Interpolation |
1424 | DAS03 | 0A | 28 | 8.00-9.30 | Driver Assistance Systems | Balasubramanian, Lakshman; Wurst, Jonas; Egolf, Robin; Botsch, Michael; Utschick, Wolfgang; DENG, KE | SceneDiffusion: Conditioned Latent Diffusion Models for Traffic Scene Prediction |
319 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Chen, Kehua; CHEN, Xianda; Zhu, Meixin; Yang, Hai; YU, Zihan | EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction |
662 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Awathe, Arpit; Varunjikar, Tejas | Closed-Loop Modeling of a Quintic Trajectory Planning and PID Motion Control System |
180 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Gao, Feng; Hu, Qiuxia; Zhan, Guanglun | A Low-dimensional Optimization Method for High-performance Parallel Parking Path Planning |
197 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Scheerer, Kay; Michalke, Thomas Paul; Mathes, Jürgen | The WayHome: Long-term Motion Prediction on Dynamically Scaled Grids |
1185 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Farid, Yashar; Oguchi, Kentaro | Damping Periodic Stop-and-go Waves in Connected Vehicle Environments |
388 | DAS04 | 0A | 28 | 10.00-11.30 | Driver Assistance Systems | Hamieh, Salam; HEIRIES, Vincent; Al Osman, Hussein; Godin, Christelle; Aloui, Saifeddine | Driver Visual Distraction Detection Using Unsupervised Learning Techniques |
920 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Hamdan, Alex; TALJ, Reine; Cherfaoui, Véronique | Design and Comparison of Two Advanced Driving Assistance Systems for the Lane Keeping in Intelligent Vehicles, based on LPV/H_infinity and Super-Twisting Sliding Mode (STSM) Control Techniques |
1445 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Lim, Jaebong; Lee, Sanghwa; Kim, Taegu; Shin, Kihun; Baek, Yunju | Open-Set Driver Identification System Based on Metric Learning with Driving Situation Awareness |
1571 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Zhao, Zhouqiao; Liao, Xishun; Abdelraouf, Amr; Han, Kyungtae; Gupta, Rohit; Barth, Matthew; Wu, Guoyuan | Inverse Reinforcement Learning and Gaussian Process Regression-based Real-time Framework for Personalized Adaptive Cruise Control |
160 | DAS05 | 0A | 28 | 11.30-12.30 | Driver Assistance Systems | Kumar, Manoranjan; Löwe, Welf; cramsky, joel; Danielsson, Per-Olof | Driving pattern classification for wheel loaders in different materialhandling using machine learning |
1264 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Yan, Guozhi; Liu, Kai; Hu, Junbo; Jin, Feiyu; Zhang, Hao | A Fine-grained Vehicle Behavior Recognition Framework: Struct Segment Temporal Convolutional Network |
1421 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Regikumar, Rohith; Kasthurirajan, Priyanga; Ramanujam, Arvind; Jayaprakash, Rajesh | TrainChaiNN - A Train Delay Prediction Model Using Chained Adversarial Neural Networks |
250 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Pang, Haoyuan; Wang, Qiang; Xu, Chen | Dynamic Self-Mutual Correlated Graph Convolutional Network for Traffic Prediction |
1126 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Liu, Jing; xu, xinyue; Zhang, Anzhong; Ye, Hongxia | An Age Attribute Inference Method for Urban Rail Transit Passengers based on Deep Learning |
413 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Ku, Yixuan; Wang, Yixuan; liu, qi; Peng, Lei; Yang, Yang | TEDGCN: Asymmetric Spatiotemporal GNN for Heterogeneous Traffic Prediction |
1448 | DL01 | 0E | 26 | 11.30-13.00 | Data Mining: Deep Learning | Samadi, Amir; Alipour Sormoli, Mohammadreza; Mozaffari, Sajjad; Koufos, Konstantinos; Dianati, Mehrdad; Woodman, Roger | A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field |
1368 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Löwens, Christian; Thyssens, Daniela; Andersson, Emma; Jenkins, Christina; Schmidt-Thieme, Lars | DeepStay: Stay Region Extraction from Location Trajectories using Weak Supervision |
1463 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Bhuyan, Zubin; Chen, Qilei; Xie, Yuanchang; Cao, Yu; Liu, Benyuan | Modeling the Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN |
194 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Farhadi, Farzaneh; Palacin, Roberto; Blythe, Phil | Forecasting the Impact of Electric Vehicle Adoption on CO2 Emissions using Machine Learning and Time Series Methods |
727 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Cherrier, Noëlie; Rérolle, Baptiste; Graive, Martin; Dib, Amir; Schmitt, Eglantine | Context-Aware Automated Passenger Counting Data Denoising |
805 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Zheng, Liyong; Rao, Hongyu; Pu, Shiliang; Jiang, Weihao; Hao, Yonggang; Li, Wenjing; Shao, Jianxuan; Su, Bin; Wang, Saisai; Zhao, Wei; Xie, Yijue; Zhang, Wei | Traffic State Identification Based on Graph Neural Networks: Taking Tidal Traffic as an Example |
773 | DL02 | 0E | 26 | 15.00-16.30 | Data Mining: Deep Learning | Abdelraouf, Amr; Gupta, Rohit; Han, Kyungtae | Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks |
783 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Li, Haoran; Lu, Yunpeng; Zheng, Sifa; SUN, CHUAN; Zhang, Chuang | Analysis of Naturalistic Driving Behavior for Personalized Autonomous Vehicle |
496 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Zheng, Zhipeng; Ye, Yongchao; Zhu, Yuanshao; Zhang, Shiyao; Yu, James J.Q. | Data-Driven Methods for Travel Time Estimation: A Survey |
880 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Bang, Geonkyu; Lee, Jinho; Endo, Yuki; Nishimori, Toshiaki; Nakao, Kenta; Kamijo, Shunsuke | Semantic Attention-guided Day-to-Night Image Translation Network |
537 | DL03 | 0E | 26 | 17.00-18.00 | Data Mining: Deep Learning | Wang, Yixuan; Ku, Yixuan; liu, qi; Yang, Yang; Peng, Lei | Large-scale parking data prediction: from a graph coarsening perspective |
694 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | Teufel, Sven; Gamerdinger, Jörg; Volk, Georg; Bringmann, Oliver | Collective PV-RCNN: A Novel Fusion Technique using Collective Detections for Enhanced Local LiDAR-Based Perception |
295 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | Gan, Chong-Xin; Mak, Man-Wai; Ho, Ivan; Lee, Wing Chi | Deep Segment-Attentive Network for Altered-Engine Recognition |
635 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | DIB, Abdelkader; SCIARRETTA, Antonio; Balac, Milos | A Two-Stage Deep Learning Based Approach for Predicting Instantaneous Vehicle Speed Profiles on Road Networks |
928 | DL04 | 5A | 27 | 12.00-13.00 | Data Mining: Deep Learning | GHOSH, BANISHREE; Dauwels, Justin | A Data-driven Approach to Estimate and Predict the Traffic Incidents' Queue Length |
541 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Stage, Hanno; Ewecker, Lukas; Langner, Jacob; Sohn, Tin Stribor; Villmann, Thomas; Sax, Eric | Reducing Computer Vision Dataset Size via Selective Sampling |
1418 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Tang, Yun; Bruto da Costa, Antonio Anastasio; Zhang, Xizhe; Irvine, Patrick; Khastgir, Siddartha; Jennings, Paul | Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain |
1443 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Muhammad, Akilu Rilwan; Aguiar, Ana; Mendes-Moreira, João | Inferring Transportation Mode using pooled features from time and frequency domains |
683 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | de Moura Martins Gomes, Nelson; Nashashibi, Fawzi | Extraction of vehicle behaviors at intersections |
1481 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Dias Carneiro, Eduardo Leandro; Fontes, Tânia; Rossetti, Rosaldo | Enhancing decision-making in transportation management: A comparative study of text classification models |
392 | DMDA01 | 5A | 26 | 10.00-11.30 | Data mining and Data Analysis | Jiao, Yiru; Calvert, Simeon Craig; van Cranenburgh, Sander; van Lint, Hans | Identifying Vehicle Interaction at Urban Intersections: A Comparison of Proximity Resistance, Time-to-Collision, and Post-Encroachment-Time |
1286 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Chakraborty, Manojit; Gupta, Rishabh | RECIPE: A Vehicle RECall Incident PrEdiction Method |
386 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Cai, Yi; Su, Shuai | Research on the Named Entity Recognition for Rail Fault Text Based on Distant Supervision |
376 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Yao, Yue; Goehring, Daniel; Reichardt, Joerg | An Empirical Bayes Analysis of Object Trajectory Representation Models |
1038 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Schicktanz, Clemens; Klitzke, Lars; Gimm, Kay | Microscopic Analysis of the Impact of Congestion on Traffic Safety and Efficiency at a Signalized Intersection: A Case Study |
234 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Lyu, Cheng; Lu, Qing-Long; Wu, Xinhua; Antoniou, Constantinos | Robust two-stage transport data imputation with changepoint detection and Tucker decomposition |
1504 | DMDA02 | 5A | 26 | 11.30-13.00 | Data mining and Data Analysis | Souza, Marcos Aurelio; Lucena, Sidney C.; Campos, Carlos A. V.; Domingues, Guilherme | Evaluating the influence of events on mobility-based data communities |
1204 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Qasemi, Ehsan; Francis, Jonathan; Oltramari, Alessandro | Traffic-Domain Video Question Answering with Automatic Captioning |
578 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Heidecker, Florian; Susetzky, Tobias; Fuchs, Erich; Sick, Bernhard | Context Information for Corner Case Detection in Highly Automated Driving |
996 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Gundlegård, David; Fermergård Grumert, Ellen | Clustering in Before-After Studies of ITS Measures |
983 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Fukasawa, Yuta; Yokoi, Yuho; Yamada, Kota; Sasai, Takeyuki; Fukushima, Shintaro | Finding Energy-Efficient and Fast Detour Routes in Unusual Traffic Events |
1384 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Qin, Wenwen; Zhang, Mingfeng; Li, Huan; Gu, Jinjing | Incomplete trajectory recovery for supporting urban link travel time distribution considering spatial-temporal correlation |
699 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | NGO, Ha Nhi; Kaddoum, Elsy; Cebecauer, Matej; Jenelius, Erik; Goursolle, Anaïs | Considering Multi-Scale Data for Continuous Traffic Prediction using Adaptive Multi-Agent System |
1663 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Sun, Zhanbo; Dai, Jin; Zhao, Yu; Ji, Ang; Zhang, Chao | A traffic flow forecasting model using graph convolutional recurrent neural networks with incomplete data |
1032 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Wang, Yanbing; Ji, Junyi; Barbour, William; Work, Daniel | Online Min Cost Circulation for Multi-Object Tracking on Fragments |
1629 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Fleck, Tobias; Zipfl, Maximilian; Zöllner, J. Marius | Semi-Automatic Ground Truth Trajectory Estimation and Smoothing using Roadside Cameras |
1081 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Berger, Christian; Cabrero-Daniel, Beatriz; Kaya, M. Cagri; Esmaeili Darestani, Maryam; Shiels, Hannah | Systematic Evaluation of Applying Space-Filling Curves to Automotive Maneuver Detection |
536 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Wang, Zepu; Sun, Yifei; Lei, Zhiyu; Zhu, Xincheng | SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory |
415 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Baowen, Xu; Xuelei, Wang; Chengbao, Liu; Shuo, Li; Jingwei, Li | Spatio-Temporal Transformer with Clustering and Dilated Attention for Traffic Prediction |
877 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Zhao, Nanbin; Zhang, Jialu; Wang, Bohui; Lu, Yun; Zhang, Kun; Su, Rong | A Data-Driven Long-Term Prediction Method of Mandatory and Discretionary Lane Change Based on Transformer |
629 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Arman, Mohammad Ali; Tampere, Chris | Accurate Segment Travel Time Estimation Based on Individual Vehicle Data |
774 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Nick Zinat Matin, Hossein; Do, Dawson; Delle Monache, Maria Laura | Nonlinear Advection-Diffusion Models of Traffic Flow: a Numerical Study |
1107 | POSTER | HALL | 26 | 15.00-16.30 | Poster Session 2 | wang, min; Liu, Huan; He, Jing; An, Chengchuan; Xia, Jingxin; Lu, zhenbo | Bayesian Network Learning Framework for Travel Mode Identification Based on Cellular Signaling Data |
148 | DMDA05 | 5H | 28 | 10.00-11.30 | Data mining and Data Analysis | Li, Xiaoming; Normandin-Taillon, Hubert; Wang, Chun; Huang, Xiao | Demand Density Forecasting in Mobility-on-Demand Systems through Recurrent Mixture Density Networks |
147 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Xiangli, Ying; Xu, Jie; Zhang, Hui | Modelling and simulation of pedestrian self-evacuation in Pedestrian Mall |
1566 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Nishimoto, Takashi; Yamaguchi, Takuma; Okuda, Hiroyuki; Suzuki, Tatsuya; Wakisaka, Ryo; Ban, Kazunori | Bayesian Network Model of Decision-Making for Pedestrians' Crossing Behavior Considering Gaze Information at Unsignalized Intersection |
592 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Ma, Lin; Chen, Longrui; Zhang, Yan; Chu, Mengdi; Jiang, Wenjie; Shen, Jiahao; Li, Chuxuan; Shi, Yifeng; Luo, Nairui; Yuan, Jirui; Chen, Yilun; ZHOU, Guyue; Gong, Jiangtao | Evaluation of Pedestrian Safety in a High-Fidelity Simulation Environment Framework |
289 | DMDA06 | 5H | 28 | 11.30-12.30 | Data mining and Data Analysis | Zhang, Cheng; Du, Bo; Shen, Jun | Movement Patterns of Pedestrians and Cyclists at Signalized Segregated Crosswalks: A Case Study in Nanjing, China |
915 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Schumann, Oliver; Buchholz, Michael; Dietmayer, Klaus | Efficient Path Planning in Large Unknown Environments with Switchable System Models for Automated Vehicles |
240 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Huang, Chao; Yang, Bo; Nakano, Kimihiko | Learning From Drivers Patterns of Evasive Maneuvers in Case of Emergency Using Dynamic-Time-Warping-Based Clustering |
1167 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Morales-Alvarez, Walter; Certad, Novel; Roitberg, Alina; Stiefelhagen, Rainer; Olaverri-Monreal, Cristina | On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars |
523 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Choi, Youngsoo; Yun, Yongmun; Jeon, Woo-Jeong; Kong, Seung-Hyun | A Novel Approach for Estimating Vehicle Speed in Nighttime Traffic Accidents from Daytime Video Information |
663 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Sun, Jiankai; Kousik, Shreyas; Fridovich-Keil, David; Schwager, Mac | Connected Autonomous Vehicle Motion Planning with Video Predictions from Smart, Self-Supervised Infrastructure |
1303 | DMDA07 | 5B | 28 | 8.00-9.30 | Data mining and Data Analysis | Ye, Zhenhao; Li, Yanlong; Cui, Zhichao; Liu, Yuehu; Li, Li; Wang, Le; Zhang, Chi | Unsupervised Video Anomaly Detection with Self-Attention based Feature Aggregating |
337 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Golchoubian, Mahsa; Ghafurian, Moojan; Dautenhahn, Kerstin; L. Azad, Nasser | Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks |
390 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | González de Cossío, Francisco; Sabiron, Guillaume | A Robust Approach for Identifying Transportation Mode using Smartphone-Based GPS Sensors and Road Network Information |
447 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Wu, Aotian; Banerjee, Tania; Chen, Ke; Rangarajan, Anand; Ranka, Sanjay | A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety |
299 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Zhu, Yuanfang; Jiang, Meilan; Yamamoto, Toshiyuki | Classification of driving style in relation to risk level based on G-G diagram |
430 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Liu, Yuying; Du, Shaoyi; Zhao, Shengwei; Tian, Zhiqiang; Zheng, Nanning | CenterDA: Center-Aware Unsupervised Domain Adaptation Regularized by Class Diversity for Distracted Driver Recognition |
400 | DMDA08 | 5B | 28 | 11.00-12.30 | Data mining and Data Analysis | Li, Xiao; He, Pan; Wu, Aotian; Ranka, Sanjay; Rangarajan, Anand | A Spatiotemporal Correspondence Approach to Unsupervised Lidar Segmentation with Traffic Applications |
821 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Sandel, Luca; Zardini, Gioele; Mitrova, Sofija; Thekemuriyil, Tanya; Minamisawa, Renato; Rahimo, Munaf; Censi, Andrea; Frazzoli, Emilio; Mastellone, Silvia | Enhancing Efficiency and Reliability of Electric Vehicles via Adaptive E-Gear Control |
740 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Brown, Nicholas; Motallebiaraghi, Farhang; Fanas, Johan; Ayantayo, Sherif; Goberville, Nicholas; Feinberg, Ben; Wang, Chieh (Ross); Ekti, Ali Riza; Meyer, Richard; Asher, Zachary D | Evaluation of Autonomous Vehicle Sensing and Compute Load on a Chassis Dynamometer |
1247 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Einolander, Johannes; Kiviaho, Annamari; Lahdelma, Risto | Impact of V2G, V2H and FCR to Electricity Costs of Households with Varying Primary Heating Sources |
789 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Rodrigues, Goncalo; Barbosa, Flávia; Schuller, Pedro; Pereira da Silva, Diogo; Pereira, João; Lopes de Azevedo, Rui Pedro; Guimaraes, Luis | Electric charging demand forecast and capture for infrastructure placement using gravity modelling: a case study |
907 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Loyo Mendivil, Estibaliz; Arandia Mendizabal, Iker; Cejudo, Iñaki; Irigoyen, Eider; Arregui Martiarena, Harbil | Theoretical approach of Electric Vehicle Planning considering influence factors in Battery Consumption |
995 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Würtz, Samuel; Niels, Tanja; Bogenberger, Klaus; Goehner, Ulrich | Impact of Inductive Charging Infrastructure at Intersections on Battery Electric Bus Operations |
436 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Li, Donghe; Hu, Chunlin; Yang, Qingyu; Chen, Shitao | Multi Actor-Critic PPO: A Novel Reinforcement Learning Method for Intelligent Task and Charging Scheduling in Electric Freight Vehicles Management |
577 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Tanwar, Dipika; Singla, Priyanka; Nag, Soham; Kumar, Vireshwar; Sarangi, Smruti R. | SmrtComp: Intelligent and Online CAN Data Compression |
116 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Ma, Tai-Yu; Fang, Yumeng; Connors, Richard; Viti, Francesco; Nakao, Haruko | A fast algorithm to optimize electric first-mile feeder services with charging synchronization constraints and customer rejections |
440 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | Cokyasar, Taner; Verbas, Omer; Davatgari, Amir; Mohammadian, Abolfazl | Solving the Electric Vehicle Scheduling Problem at Large-Scale |
1309 | EV02 | 0A | 27 | 11:30-13:00 | Electric Vehicles | CABALLINI, CLAUDIA; Sacone, Simona; Saeednia, Mahnam | Transition to zero emissions: cooperative planning of carriers trips using electric and diesel vehicles |
325 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Kim, Dohee; Seo, Youngwon; Jang, HongSoon; Kang, Hyemin; Jeong, Gu-Min; Eo, Jeong Soo | Vehicle-in-the-Loop Experimental Verification of Real-Time Embedded Computation on Microcontroller for Service-Oriented Energy-Optimal Strategies of Intelligent Electric Vehicles |
1017 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Das, Lokesh Chandra; Dasgupta, Dipankar; Won, Myounggyu | Intelligent Adaptive Electric Vehicle Motion Control for Dynamic Wireless Charging |
395 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Anderson, Ryan; Harper, Mario | Save Money, Get Charged: Facility-Tied Energy Management with Unknown and Unscheduled EV Charging |
1002 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Ben Gharbia, Ibtihel; De Nunzio, Giovanni; SCIARRETTA, Antonio | Optimal Placement of Fast Charging Infrastructure for Electric Vehicles: an Optimal Routing and Spatial Clustering Approach |
1467 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Niels, Tanja; Bogenberger, Klaus | Optimized Trajectory Planning to Reduce Energy Consumption of Electric Vehicles in Autonomous Intersection Management |
402 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Tarhini, Fadel; TALJ, Reine; Doumiati, Moustapha | Driving Towards Energy Efficiency: A Novel Torque Allocation Strategy for In-Wheel Electric Vehicles |
270 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Eisele, Daniel; Bubeck, Carla Bernadette; Petzoldt, Tibor | Equipping vehicles with novel eHMIs potentially changes how pedestrians interact with vehicles without eHMIs |
1361 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Ehab, Silvana; Morgan, Elsayed Imam; Elguindy, Ahmed; Shehata, Omar | Hybrid Multi-Parametric Optimization for Mobility-Aware Scheduling of Electric Vehicles Charging Station |
1371 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Zhu, Xiaolei; Tang, Xindi; Xie, Jiaohong; Liu, Yang | Dynamic Balancing-Charging Management for Shared Autonomous Electric Vehicle Systems: A Two-Stage Learning-Based Approach |
1345 | EV04 | 0A | 27 | 17.00-18.00 | Electric Vehicles | Gómez-Barroso, Álvaro; Otaola, Eneko; Onieva, Enrique; Arteta, Beñat; Pérez Rastelli, Joshué; Prieto, Pablo | Fuzzy Logic Strategy for Traction Control in Parallel Hybrid Vehicles |
165 | EV01 | 0A | 27 | 10:00-11:30 | Electric Vehicles | Alonso Tejeda, Asier; Heriz Revuelta, Borja; Allende Marcos, Miguel; Vicente, Iban; Prieto, Pablo; Pérez Rastelli, Joshué | An optimal sizing methodology for Fuel Cell Hybrid Trucks |
1255 | EV03 | 0A | 27 | 15.00-16.30 | Electric Vehicles | Mi, Jiayu; Shao, Yichen; Yang, Zhongping; Huang, Xianjin; Lin, Fei; zhang, hailiang | Design of On-board Energy Storage Systems for Regenerative Braking Energy Recovery in Urban Rail Transit |
766 | AVSS03 | 5A | 27 | 15.00-16.30 | Advanced vehicle safety | Feng, Yan; Farah, Haneen; van Arem, Bart | Effect of eHMI on pedestrian road crossing behavior in shared spaces with Automated Vehicles |
1503 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Maci, Enrik; Howard, Rhys Peter Matthew; Kunze, Lars | Generating and Explaining Corner Cases Using Learnt Probabilistic Lane Graphs |
9 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Alsheeb, Khalid; Brandao, Martim | Towards Explainable Road Navigation Systems |
1457 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Feng, Yuxiang; Ye, Qiming; Adan, Fahmy; Marques, Luis; Angeloudis, Panagiotis | Driving Style Classification using Deep Temporal Clustering with Enhanced Explainability |
472 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Wöber, Wilfried; Waikat, Jakub; Mehnen, Lars; Olaverri-Monreal, Cristina | Unsupervised Traffic Sign Classification Relying on Explanatory Visible Factors |
469 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Atakishiyev, Shahin; Salameh, Mohammad; Babiker, Housam; Goebel, Randy | Explaining Autonomous Driving Actions with Visual Question Answering |
1533 | EXP01 | 5B | 26 | 15.00-16.30 | Trustworthy AI for ITS | Ahmad, H M Sabbir; Sabouni, Ehsan; Xiao, Wei; Cassandras, Christos; Li, Wenchao | Trust-Aware Resilient Control and Coordination of Connected and Automated Vehicles |
755 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Vieira, Flávio; Campos, Carlos A. V. | FedWS: Dealing with Heterogeneous Data on Federated Learning |
192 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Chang, Xing; Xue, Xiaoping; Yao, Baojing; Li, Aojie; Ma, jingxiao; Yu, Yantao | Reliable Federated Learning with Mobility-Aware Reputation Mechanism for Internet of Vehicles |
1476 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Vondikakis, Ioannis; Panagiotopoulos, Ilias; Dimitrakopoulos, George | An adaptive federated learning framework for intelligent road surface classification |
1516 | FED01 | 1B | 26 | 10.00-11.00 | Data mining in ITS: Federated Learning | Meese, Collin; Lee, Danielle; Chen, Hang; Nejad, Mark | vLOFT: Variable Learning Rate for Online Federated Traffic Prediction |
1097 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | Li, Kunming; Chen, Yijun; Shan, Mao; Li, Jiachen; Worrall, Stewart; Nebot, Eduardo | Game Theory-Based Simultaneous Prediction and Planning for Autonomous Vehicle Navigation in Crowded Environments |
1114 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | JI, Mengyu; XU, YU HONG; Cheng, Shih-Fen | Quantifying Taxi Drivers' Behaviors with Behavioral Game Theory |
1623 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | Hayashi, Yuito; Hato, Eiji | Mitigating Congestion with Auctions: A Game Theoretic Approach for Selfish Autonomous Vehicles |
1628 | GAME01 | 5A | 28 | 10.00-11.00 | Gaming theory in ITS | HAJJAR, PERLA; KLOUL, Leïla; Barth, Dominique | Optimal Bus Scheduling using a Distributed Game Model Approach |
127 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Arce Sáenz, Luis Alejandro; Izquierdo Reyes, Javier; Bustamante Bello, Martín Rogelio | Road Surface Monitoring System Through Machine Learning Ensemble Models |
184 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Liu, Yicai; Zhang, Guowang; Li, Jian; Huang, Changyao; Wang, Xiangyu; Li, Liang | One-Level Feedback Torque Tracking based on Explicit Model Predictive Control for Steering-by-Wire System |
233 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Cellina, Marcello; Strada, Silvia; Savaresi, Sergio M. | Vehicle fuel consumption virtual sensing from GNSS and IMU measurements |
839 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Balamutas, Juozas; Ambraziunas, Mantas; Navikas, Dangirutis; Markevicius, Vytautas; Cepenas, Mindaugas; Valinevicius, Algimantas; Zilys, Mindaugas; Andriukaitis, Darius | Method for Accelerometer and Magnetometer based vehicle classification |
322 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Bensen, Erik; Severino, Joseph; Ugirumurera, Juliette; Wang, Qichao; Sanyal, Jibonananda; Jones, Wesley | A Machine Learning Method for Real-Time Traffic State Estimation from Probe Vehicle Data |
1669 | IS01 | 0D | 27 | 15.00-16.30 | Intelligent Sensors | Zhang, Ruixuan; Han, Wenyu; Bian, Zilin; Ozbay, Kaan; Feng, Chen | Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices |
1052 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Lin, Yiru; Wei, Xinwei; Zou, Zhiyuan; Yi, Wei | Deep Learning based 3D Target Detection Method for the Range-Azimuth-Doppler Cube of Automotive Radar |
138 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Oboril, Fabian; Buerkle, Cornelius; Zayed, Omar; Scholl, Kay-Ulrich | HistoGrid: Robust LiDAR-based Traffic Monitoring |
1414 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Qu, Ao; Huang, Xuhuan; Suo, Dajiang | SEIP: Simulation-based Design and Evaluation of Infrastructure-based Collective Perception |
1029 | IS02 | 0D | 27 | 17.00-18.00 | Intelligent Sensors | Sofokleous, Marina; Englezou, Yiolanda; Savva, Aristotelis; Timotheou, Stelios; Panayiotou, Christos | Low complexity heuristics for multi-objective sensor placement in traffic networks |
1389 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Li, Daiwei; Gao, Liang; Jia, Bobo; Yang, Yi; Fu, Mengyin; Xie, Shanshan | An Environmental and Behavioral-oriented Search-based Trajectory Planning Approach for Tractor-trailer System in Narrow Environment |
992 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Huang, Yunping; Zheng, Nan; Liang, Enming; Hsu, Shu-Chien; Zhong, Renxin | An Approximate Dynamic Programming Approach to Vehicle Dispatching and Relocation using Time-Dependent Travel Times |
938 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Zhang, Kunyi; Pang, Yanbo; Sekimoto, Yoshihide | Deep Learning Approach to Logistics Trips Generation: Enhancing Pseudo People Flow with Agent-Based Modeling |
826 | LOG01 | 0E | 28 | 10.00-11.00 | Intelligent Logistics | Chen, Xinan; Bai, Ruibin; Qu, Rong; Dong, Jing | Neural Network Assisted Genetic Programming in Dynamic Container Port Truck Dispatching |
1066 | MAV01 | 5H | 25 | 11.00-12.00 | Multi-Autonomous vehicle studies | Ma, Yining; Khan, Qadeer; Cremers, Daniel | Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller |
1128 | MAV01 | 5H | 25 | 11.00-12.00 | Multi-Autonomous vehicle studies | Jagdale, Karan Suresh; Khan, Zaid Saeed; Menendez, Monica; Ornik, Melkior | Optimal Planning on a Single-Route Transit System with Modular Buses |
636 | MAV01 | 5H | 25 | 11.00-12.00 | Multi-Autonomous vehicle studies | Konstantinidis, Fabian; Sackmann, Moritz; Hofmann, Ulrich; Stiller, Christoph | Modeling Interaction-Aware Driving Behavior using Graph-Based Representations and Multi-Agent Reinforcement Learning |
359 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Chen, Mo; Murgovski, Nikolce; Xiao, Zhuang; Feng, Xiaoyun; Wang, Qingyuan; Sun, Pengfei | Energy-efficient and Safe-separation Operation for Successive Trains |
729 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Kremer, Philipp; Nourani Vatani, Navid; Park, Sangyoung | Digital Twin Enabled Teleoperated Driving under Network Delay using Ego Vehicle Tracking |
987 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Zofka, Marc René; Fleck, Tobias; Schörner, Philip; Heinrich, Marc; Zöllner, J. Marius | Paving the Ways for Vehicles-in-the-loop: Wireless Integration of Autonomous Vehicles into Mixed Reality Proving Grounds and Test Areas |
582 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Luo, Zhangzhi; jiang, yang; Han, Qingwen; Zeng, Lingqiu; Qi, LingFeng | Message prediction method and application based on V2X interactive data completeness |
988 | MAV02 | 5H | 25 | 12.00-13.00 | Multi-Autonomous vehicle studies | Höfer, Tristan; Hoppe, Mattis; Kusmenko, Evgeny; Rumpe, Bernhard | MontiSim: Agent-Based Simulation for Reinforcement Learning of Autonomous Driving |
109 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Kloock, Maximilian; Alrifaee, Bassam | Cooperative Pose Control of Non-Holonomic Vehicles Using Synchronization |
1468 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Adan, Fahmy; Feng, Yuxiang; Angeloudis, Panagiotis; Quddus, Mohammed; Ochieng, Washington | Constrained Multi-Agent Reinforcement Learning Policies for Cooperative Intersection Navigation and Traffic Compliance |
1415 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Filipe, Francisco; Kokkinogenis, Zafeiris; d'Orey, Pedro M.; Rossetti, Rosaldo | Cooperative, Connected and Autonomous Mobility: Coordination at Intersections using Reservation-based Mechanisms |
139 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Ali, Muhammad; Tangirala, Nagacharan Teja; Knoll, Alois; Eckhoff, David | Rebalancing Autonomous Electric Vehicles for Mobility-on-Demand by Data-Driven Model Predictive Control |
1547 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Lichtlé, Nathan; Jang, Kathy; Shah, Adit; Vinitsky, Eugene; Lee, Jonathan; Bayen, Alexandre | Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data |
1266 | MAV03 | 5H | 25 | 14.00-15.30 | Multi-Autonomous vehicle studies | Sekeran, Maya; Syed, Arslan Ali; Lindner, Johannes; Margreiter, Martin; Bogenberger, Klaus | Investigating Lane-Free Traffic with a Dynamic Driving Simulator |
1646 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Lian, Zhexi; Hu, Jia; Zhang, Zhen; Yang, Xiaoguang; Lai, Jintao | A Multi-phase-adaptable Bus Lane Sharing Strategy for Vehicles with Various Turning Intentions at Intersections |
1539 | MAV04 | 5H | 25 | 15.30-16.30 | Multi-Autonomous vehicle studies | Gontscharow, Martin; Schotschneider, Albert; Orf, Stefan; Fleck, Tobias; Zofka, Marc René; Zöllner, J. Marius | Survey and Design Handbook for Control Centers of Automated Vehicle Fleets |
781 | MAV04 | 5H | 25 | 15.30-16.30 | Multi-Autonomous vehicle studies | Sural, Shounak; Su, Gregory; Sahu, Nishad; Naren, Naren; Rajkumar, Ragunathan | CoSim: A Co-Simulation Framework for Testing Autonomous Vehicles in Adverse Operating Conditions |
857 | MAV04 | 5H | 25 | 15.30-16.30 | Multi-Autonomous vehicle studies | Coretti Sanchez, Naroa; Mugica Gonzalez, Juan; Quinn, Bowers; Grignard, Arnaud; Castelló Ferrer, Eduardo; Alonso, Luis; Larson, Kent | Urban Mobility Swarms: towards a decentralized autonomous bicycle-sharing system |
1471 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Yang, Junqing; Yan, Yuxi; Chen, Shitao; Zheng, Nanning | Enhancing Scene Simulation for Autonomous Driving with Neural Point Rendering |
135 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Fang, Yukun; Min, Haigen; WU, xia; Xia, Sen; Teixeira, Rui; Zhao, Xiangmo | Damping Behavior and String Stability Analysis of an MPF-Helly Car Following Model for Connected Autonomous Vehicles |
1180 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Ghoul, Amina; Yahiaoui, Itheri; Nashashibi, Fawzi | Interpretable Long Term Waypoint-Based Trajectory Prediction Model |
1616 | MAV05 | 5H | 25 | 17.00-18.00 | Multi-Autonomous vehicle studies | Somisetty, Neelkamal; Nagarajan, Harsha; Darbha, Swaroop | Impact of Ordering of Heterogeneous Vehicles on String Stability |
1191 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Ren, Hualing; Liu, Kai; Li, Yantao; Dai, Penglin; Xiao, Ke | Cooperative Data Uploading and Task Offloading Via Markov-Approximation in Heterogeneous Vehicular Networks |
919 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Chellapandi, Vishnu Pandi; Yuan, Liangqi; Zak, Stanislaw H.; Wang, Ziran | A Survey of Federated Learning for Connected and Automated Vehicles |
753 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Hofinger, Felix; Mischinger, Marlies; Haberl, Michael; Fellendorf, Martin | Lane Change Model For Automated Vehicles on Multi-Lane Highways in Mixed Traffic |
792 | MAV06 | 5G | 28 | 11.00-12.00 | Multi-Autonomous vehicle studies | Schlichting, Marc René; Boord, Nina Virginia; Corso, Anthony; Kochenderfer, Mykel | SAVME: Efficient Safety Validation for Autonomous Systems Using Meta-Learning |
1544 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | WANG, Ruiqi; Ji, Ang; Li, Tao; Sun, Zhanbo; Zhijian, Fu | An interpretable machine learning-based analysis of vehicle yielding during pedestrian-vehicle interactions at unsignalized intersections |
767 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | Morais, Mayuri Annerose; Camargo, Raphael Yokoingawa | Real-time Incident Detection in Public Bus Systems Using Machine Learning |
515 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | Zheng, Yubin; Cheng, Cheng; Yu, Shui; Ye, Xian; Wang, Zixuan; Li, Xinghua | Predicting the Vehicle Turn-in Rates of Highway Service Area: A Random Forest Approach |
534 | ML01 | 5B | 26 | 17.00-18.00 | Data mining in ITS: Machine Learning | Sun, Yue; Zhang, Kangshuai; liu, qi; Yang, Yang; Peng, Lei | Efficient Large-Scale Parking Data Prediction based on Parking Zone Division |
464 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Oh, Inhyuk; Seo, Juwon; Kim, Jin Sung; Chung, Chung Choo | Reachable Set-based Path Planning for Automated Parking System |
1151 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Shi, Jiamin; Qiu, Zhuo; Zhang, Tangyike; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Robot Crowd Navigation based on Spatio-Temporal Interaction Graphs and Danger Zones |
188 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Puphal, Tim; Eggert, Julian | Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning |
378 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Han, Sangwon; Park, Geonyeong; Ahn, Yoonyong; Cho, GunHee; Kim, Soontae; Huh, Kunsoo | Estimated State-Based Optimal Lane-Keeping Path Planning and Control System for Semi-Trailer Trucks |
364 | SP10 | 0D | 26 | 15.00-16.30 | Motion Planning and Navigation | Li, Dianzhao; Okhrin, Ostap | Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer |
493 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Maierhofer, Sebastian; Althoff, Matthias; Ballnath, Yannick | Map Verification and Repairing Using Formalized Map Specifications |
1299 | MoP01 | 0A | 25 | 11.00-13.00 | Motion Planning and Navigation | Rama, Petrit; Bajcinca, Naim | MALE-A: Stimuli and Cause Prediction for Maneuver Planning via Graph Neural Networks in Autonomous Driving |
690 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Lin, Yu-Chen; Sun, Chien-Wen; Lyu, Bo-Han; Yeh, Ting-Jia | An Adaptive Semi-Active Suspension System for Design of Vehicle Stability Control System |
1551 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Zhang, Xiaotong; Fu, Jiawei; Chen, Shitao; Zheng, Nanning | Real-Time, Secure, and Computationally Efficient Navigation: A Prediction-Planning Framework Using Occupancy Grid Map |
959 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Lin, Pengfei; Javanmardi, Ehsan; Nakazato, Jin; Tsukada, Manabu | Occlusion-Aware Path Planning for Collision Avoidance: Leveraging Potential Field Method with Responsibility-Sensitive Safety |
111 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Haydon, James; Bondu, Martin; Eberhart, Clovis; Dubut, Jérémy; Hasuo, Ichiro | Formal Verification of Intersection Safety for Automated Driving |
7 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Tong, Kailin; Solmaz, Selim; Horn, Martin; Stolz, Michael; Watzenig, Daniel | Robust Tunable Trajectory Repairing for Autonomous Vehicles Using Bernstein Basis Polynomials and Path-Speed Decoupling |
468 | MoP02 | 0A | 25 | 14.00-15.30 | Motion Planning and Navigation | Xiao, Xiaofeng; Li, Wei; Meng, Yu; Hu, Wen; Fang, Huazhen; GU, Qing; Cao, Dongpu | TP-GDM: Trajectory Prediction-based Game Decision-Making Model and A Case Study on Merging |
1680 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Chen, Ming; Liu, Jianyi; Pang, Jinlong; Jian, Zhiqiang; Chen, Pei | Multi-risk Aware Trajectory Planning for Car-like Robot in Highly Dynamic Environments |
453 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Neumeier, Marion; Dorn, Sebastian; Botsch, Michael; Utschick, Wolfgang | Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain |
1515 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Peiss, Lars Frederik; Wohlgemuth, Elias; Xue, Fan; Meyer, Eivind; Gressenbuch, Luis; Althoff, Matthias | Graph-based Autonomous Driving with Traffic Rule-Enhanced Curriculum Learning |
1524 | MoP03 | 0A | 25 | 15.30-16.30 | Motion Planning and Navigation | Chavez Armijos, Andres; Li, Anni; Cassandras, Christos | Maximizing Safety and Efficiency for Cooperative Lane-Changing: A Minimally Disruptive Approach |
693 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Zhang, Tangyike; SUN, Shuo; Shi, Jiamin; Chen, Shitao; Ang Jr, Marcelo H; Xin, Jingmin; Zheng, Nanning | Maximum Entropy Inverse Reinforcement Learning Based on Frenet Frame Sampling for Human-like Autonomous Driving |
1244 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Schulte-Tigges, Joschua; Rondinone, Michele; Reke, Michael; Wachenfeld, Jan; Kaszner, Daniel | Using V2X Communications for Smart ODD Management of Highly Automated Vehicles |
796 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Hsiao, Chun-Chien; An, Gihyeob; Bae, Jun Han; Talebpour, Alireza | A Comfort-Based Vehicle Routing Methodology for Autonomous Vehicles According to Vehicles' Speed |
315 | MoP04 | 0A | 25 | 17.00-18.00 | Motion Planning and Navigation | Graubohm, Robert; Salem, Nayel Fabian; Nolte, Marcus; Maurer, Markus | On Assumptions with Respect to Occlusions in Urban Environments for Automated Vehicle Speed Decisions |
121 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Lubiniecki, Toni; Schildbach, Georg | Trajectory Tracking MPC With Online Model Adaptation Using Gaussian Process Regression and Clustering |
437 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Schäfer, Johannes; Keppler, Felix; Wagner, Sebastian; Janschek, Klaus | RMTRUCK: Deadlock-free Execution of Multi-robot Plans under Delaying Disturbances |
851 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Cheng, Jie; Chen, Ruishuang; liangzhihui, Liang; DING, SHUAN; Yang, Zaiyue | Trajectory Planning for Formation Variation of UGVs in Cluttered Environment |
1198 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Ye, Linhui; Wen, Zoutao; Zhang, Hailong; Ran, Bin | A General DRL-Based Framework using Mode-Selection Tangent Time Projection for Mixed On-Ramp Merging |
1257 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Chen, Xiao; Mårtensson, Jonas | Invariant Safe Contingency Model Predictive Control for Intersection Coordination of Mixed Traffic |
1554 | MoP05 | 0A | 26 | 10.00-11.30 | Motion Planning and Navigation | Liu, Yu; Zhang, Yuexin; Li, Kunming; Qiao, Yongliang; Worrall, Stewart; Li, You-Fu; Kong, He | Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction |
1498 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Wang, Ning; Chen, Xiao; Mårtensson, Jonas | Rollout-Based Interactive Motion Planning for Automated Vehicles |
145 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Liu, Jiaqi; L. Azad, Nasser; Qu, Ting | An Optimization-based Coordination of Multi-lane Platoons of Connected and Automated Trucks for Reducing Travel Time |
772 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Jank, Georg; Rowold, Matthias; Lohmann, Boris | Hierarchical Time-Optimal Planning for Multi-Vehicle Racing |
886 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Lei, Mingyue; Yan, Xuerun; Hu, Jia; Wang, Haoran | Eco-Cooperative and Adaptive Cruise Control for Enhanced Fuel Efficiency on Rolling Terrain |
1378 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Prabu, Avinash; Li, Lingxi; Chen, Yaobin; King, Brian | Data-driven Deep Reinforcement Learning for Automated Driving |
1684 | MoP06 | 0A | 26 | 11.30-13.00 | Motion Planning and Navigation | Qian, Zelin; Cao, Zhong; Zhou, Weitao; Wen, Junze; Jing, Cheng; Yang, Diange; Jiang, Kun | An End-to-End Autonomous Driving Pre-trained Transformer Model for Multi-Behavior-Optimal Trajectory Generation |
1006 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Madridano Carrasco, Angel; Campos, Sergio; Pérez Rastelli, Joshué; Valle, Alfredo; Martín, Diego; Lattarulo, Ray; de Miguel, Miguel Angel; Naranjo, Jose; Garcia, Fernando | Evolution of bus shuttle service in Madrid towards autonomous operation, a practical use case |
1285 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Martínez, Irene | Mitigation of stop-and-go traffic waves with intelligent vehicles at low market penetration rates |
1488 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Zhang, Hanwen; Rostami-Shahrbabaki, Majid; Troullinos, Dimitrios; Bogenberger, Klaus | A Novel Potential Line Strategy for Autonomous Vehicle Control in Lane-free Traffic |
1023 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Martinez Gomez, Luis Miguel; García Daza, Iván; Sotelo Vázquez, Miguel Ángel | Temporal Based Deep Reinforcement Learning for Crowded Lane Merging Maneuvers |
700 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Geurts, Merlijne; Silvas, Emilia; Katriniok, Alexander; Heemels, Maurice | Effects of using Motion Predictions in Automated Driving in Highway Lane Merging |
1229 | MoP07 | 0A | 26 | 15.00-16.30 | Motion Planning and Navigation | Fulwadiya, Rajkumari; Jain, Udit; Sharma, Anshuman; Kathuria, Ankit | Can autonomous vehicles enhance safety in heterogeneous disordered traffic conditions? A simulation-based exploratory study |
106 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Kedia, Shubham; Karumanchi, Sambhu Harimanas | Real-time Autonomous Vehicle Navigation under Unknown Dynamics |
152 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Jian, Zhiqiang; Zhang, Songyi; Sun, Lingfeng; Zhan, Wei; Tomizuka, Masayoshi; Zheng, Nanning | Adaptive Spatio-Temporal Voxels Based Trajectory Planning for Autonomous Driving in Highway Traffic Flow |
458 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Zheng, Lei; Yang, Rui; Peng, Zengqi; Liu, Haichao; Wang, Michael Yu; Ma, Jun | Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic |
1148 | MoP08 | 0A | 26 | 17.00-18.00 | Motion Planning and Navigation | Zhang, Luyao; Han, Shaohang; Grammatico, Sergio | An Efficient Game-Theoretic Planner for Automated Lane Merging with Multi-Modal Behavior Understanding |
389 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Hallgarten, Marcel; Stoll, Martin; Zell, Andreas | From Prediction to Planning With Goal Conditioned Lane Graph Traversals |
1234 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Hu, Yunze; Chen, Jiaao; Zhou, Kangjie; Gao, Han; Li, Yutong; Liu, Chang | Informative Path Planning of Autonomous Vehicle for Parking Occupancy Estimation |
1241 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Kim, Seongyeon; Shin, Jongho | Optimization-Based Path Planning Algorithm with Finite Traversable Area |
1658 | MoP09 | 5A | 26 | 17.00-18.00 | Motion Planning and Navigation | Chen, Zhan; YU, Zhuoping; Lu, Xiong; Tang, Chen | Drive with Quantified Risk: A Probabilistic Approach for Occlusion-aware Trajectory Planning |
1453 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Braining, Andreas; Nikolovski, Gjorgji; Reke, Michael; Ferrein, Alexander Antoine | Extraction of Semantically Rich High-Definition Maps from Spatial Representations of an Open Pit Mine |
260 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Lin, Li; Zheng, Jiang Yu | Understanding Vehicle Interaction in Driving Video with Spatial-Temporal Deep Learning Network |
284 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Li, Haichuan; LIGUO, ZHOU; Knoll, Alois | SSN: Sequential Spatial Network for Collision Avoidance in Birds-Eye View |
1269 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Heusel, Judith; del Alamo, Miguel; Baasch, Benjamin; Roth, Michael | On the Use of Axle-Box Acceleration Data for Rail Vehicle Positioning |
834 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Li, Tao; Ye, Shanding; Li, Ruihang; Fu, Yongjian; Pan, Zhijie | Topology-aware Road Extraction via Multi-task Learning for Autonomous Driving |
384 | MoP10 | 0E | 27 | 10.00-11.30 | Motion Planning and Navigation | Schier, Maximilian; Reinders, Christoph; Rosenhahn, Bodo | Learned Fourier Bases for Deep Set Feature Extractors in Automotive Reinforcement Learning |
1376 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Pang, Jinsong; Long, Tingting; Cui, Zhichao; Xu, Linhai; Li, Li; Zhang, Chi | Learning from Not All Vehicles via Influence Function |
433 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Bi, Xin; Weng, Caien; Tong, Panpan; Zhang, Bo; Li, Zhichao | MEERL: Maximum Experience Entropy Reinforcement Learning Method for Navigation and Control of Automated Vehicles |
209 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Bouaziz, Youssef; royer, eric; Bresson, Guillaume; dhome, Michel Dhome | Long-term localization with map compression based on solar information |
327 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Zhou, Huanyu; Lu, Shouyi; Zhuo, Guirong | Self-supervised 4-D Radar Odometry for Autonomous Vehicles |
811 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Cheng, Hao; LIU, Mengmeng; Chen, Lin | An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images |
1649 | MoP11 | 0E | 27 | 11.30-13.00 | Motion Planning and Navigation | Sharma, Ayush; Mehan, Yash; Dasu, Pradyumna; Garg, Sourav; Krishna, K Madhava | Hierarchical Unsupervised Topological SLAM |
93 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Guo, Youxing; Sun, Pengfei; Wang, Qingyuan; Li, Zhi | Adaptive Terminal Sliding Mode Control for High-Speed Train Using Multibody Dynamics Model under Boundary Constraint |
429 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Li, Shuoyuan; Wang, Guan; Xiao, Xiao; Xu, Zhenghao; Hu, Jia; Wang, Haoran | Enabling Eco-Approach Where Signal Timing Is Unknown |
521 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Halder, Patrick; Christ, Fabian; Althoff, Matthias | Lexicographic Mixed-Integer Motion Planning with STL Constraints |
1034 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Fischer, Johannes; Steiner, Marlon; Tas, Omer Sahin; Stiller, Christoph | Safe Reinforced Model Predictive Control (SRL-MPC): Improving MPC with RL for Motion Planning in Autonomous Driving |
274 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Zhang, Songyi; Jian, Zhiqiang; Zhan, Wei; Zheng, Nanning; Tomizuka, Masayoshi | Time-Optimal Curvature Continuous Path to a Line for Robot Steering |
1683 | MoP12 | 0E | 27 | 15.00-16.30 | Motion Planning and Navigation | Liu, Yuanzhi; Lu, Xiong; Tang, Chen | Towards Driving and Parking Integration : An Holistic Planning Framework for Automated Valet Parking with Optimized Efficiency |
176 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Yin, Yunfei; Kou, Tingli; Ochieng, Nyambega; Bao, Xianjian | PASFLN: Positional Association and Semantic Fusion Learning Network for Traffic Object Detection |
504 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Li, Zhuoren; Lu, Xiong; Leng, Bo; Xu, Puhang; Fu, Zhiqiang | Safe Reinforcement Learning of Lane Change Decision Making with Risk-fused Constraint |
844 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Axmann, Jeldrik; Zhang, Yimin; Brenner, Claus | Maximum Consensus Localization using an Objective Function based on Helmerts Point Error |
1044 | MoP13 | 0E | 27 | 17.00-18.00 | Motion Planning and Navigation | Zhang, Mingfang; Liu, Ying; Li, huajian; Wang, Li; Wang, Pangwei | An Intention-Based Multi-Modal Trajectory Prediction Framework for Overtaking Maneuver |
1681 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Zhong, Yucong; Liu, Jianyi; Jian, Zhiqiang; Pang, Jinlong; Chen, Shitao | DVT-Tree: Dynamic Visible Topology Tree for Efficient Mapless Navigation in Maze Environments |
1203 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Tu, Chengen; Li, Zhuoren; Leng, Bo; Lu, Xiong | A Seamless Motion Planning Integrating Maneuver Decision Based on Hybrid Model Predictive Control |
1377 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Abdeselam, Navil; Gutiérrez-Moreno, Rodrigo; López-Guillén, Elena; Barea, Rafael; Montiel-Marín, Santiago; Bergasa, Luis M. | Hybrid MPC and Spline-based Controller for Lane Change Maneuvers in Autonomous Vehicles |
1491 | MoP14 | 5A | 28 | 11.00-12.00 | Motion Planning and Navigation | Trumpp, Raphael; Büchner, Martin Alexander; Valada, Abhinav; Caccamo, Marco | Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations |
918 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Yazici, Anil; Bargahi, Mahsa; Barati, Hojjat | Relationship between Criticality and Travel Time Reliability in Transportation Networks |
1213 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Guojian, Zou; Fan, Jing; Wang, Wang; Ma, Changxi; Wang, Ting; Li, Ye | Multi-Task-Based Spatio-Temporal Generative Inference Network for Predicting the Highway Traffic Speed |
1660 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Guojian, Zou; Wang, Ting; Wang, Wang; Fan, Jing; Li, Ye | How to Accurately Predict Traffic Speed Using Simple Input Variables? A Novel Self-Supervised Spatio-Temporal Bilateral Learning Network |
10 | NM01 | 5B | 25 | 12.00-13.00 | Network Management | Peng, Jiaheng; guan, tong; Liang, Jun | Spatial-Temporal Graph Discriminant AutoEncoder for Traffic Congestion Forecasting |
21 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | guan, tong; Peng, Jiaheng; Liang, Jun | Spatial-Temporal Graph Multi-Gate Mixture-of-Expert Model for Traffic Prediction |
206 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Joumaa, Agatha; Goatin, Paola; De Nunzio, Giovanni | A Macroscopic Model for Multi-Modal Traffic Flow in Urban Networks |
1472 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Mousavizadeh, Omid; Keyvan-Ekbatani, Mehdi | Regional Transfer Flow Ratio Estimation in a Multi-reservoir Traffic System |
120 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Zhao, Fan; Wang, Yanhui; Wang, Wenhao | Identification of Critical Components of High-Speed Train Topology Network Under the Ice and Snow Scene |
113 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | He, Zhichao; Wang, Yanhui; Jia, Limin; Xia, Weifu; Yan, Kai; Hao, Yucheng | Risk Identification Method for Urban Rail Transit System Considering Topology Structure |
1112 | NM02 | 5B | 25 | 14.00-15.30 | Network Management | Zhang, Yanqi; Bu, Bing; Fan, Ying | An Optimized Method Based on Two-Layer PSO Algorithm for the Node Deployment of the Wireless Ad Hoc Network in Train Autonomous Circumambulation System |
351 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Tak, Hye-young; Kim, Sunghoon; Kim, Yeeun; Yeo, Hwasoo | A Hybrid Model for Real-Time Traffic Prediction with Augmented Historical Data using Traffic Simulation |
1202 | SM07 | 0C | 28 | 10.00-11.00 | Simulation and Modelling | Liu, Zehai; Yin, Jiateng; D'Ariano, Andrea; TANG, Tao | Vulnerability Assessment and Optimization of Urban Rail Systems Against Extreme Perturbations: An MIP-based Approach |
910 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Beojone, Caio Vitor; Zhu, Pengbo; Sirmatel, Isik Ilber; Geroliminis, Nikolas | Hierarchical Fleet Repositioning Control in Ride-hailing Systems |
705 | NM03 | 5B | 25 | 15.30-16.30 | Network Management | Wang, Ruoyu; zhou, huijuan; Zhang, Zundong; Song, Yajie; Liu, Xiao-ming | Theoretical Validation of Pedestrian Flow Pattern Distribution in Hub Station Passenger Channel Networks based on Macroscopic Evolution Fundamental Diagram |
666 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Brückner, Christoph; Patino Studencki, Lucila; Nan, Tianxiang; Büyükoglu, Atakan; Fischer, Michael | Simulation of Communication Network Latency Effects on Vehicle Teleoperation |
1692 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Ogawa, Daichi; Hato, Eiji | Adversarial Inverse Reinforcement Learning for Joint Behaviour Modeling in Bayesian Nash Networks |
1416 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Zhang, Yunfei; Ilic, Mario; Bogenberger, Klaus | A Novel Concept of Traffic Data Collection and Utilization: Autonomous Vehicles as a Sensor |
142 | NM04 | 5B | 25 | 17.00-18.00 | Network Management | Tang, Qianxue; Li, Dong; Ouyang, Zibo; Zheng, Wei | Deep reinforcement learning method for POMDP based tram signal priority |
159 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | Perez Delgado, Iñigo; Garcia Markaida, Beatriz; Mata Ali, Alejandro; Moreno Fdz de Leceta, Aitor | QUBO Resolution of the Job Reassignment Problem |
1320 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | He, Mingjia; Krishnakumari, Panchamy; Luo, Ding; Chen, Jiaqi | A Data-Driven Integrated Framework for Fast-Charging Facility Planning using Multi-Period Bi-Objective Optimization |
609 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | Fu, Jiali; Bhatti, Harrison John; Eek, Magnus | Optimization of Freight Charging Infrastructure Placement using Multiday Travel Data |
1449 | OPT01 | 1B | 25 | 11.00-12.00 | Advanced Optimization Techniques | Xue, Chaozhong; Dong, Yongqi; Liu, Jiaqi; Liao, Yijun; Li, Lingbo | Design of the Reverse Logistics System for Medical Waste Recycling Part II: Route Optimization with Case Study under COVID-19 Pandemic |
568 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Li, Chunchi; Wang, Yiwei; Lu, Qiuzi; Huang, Yuhao; Wang, Wei; Huang, Youneng | Research on Strategy for Delay Recovery of Urban Rapid Rail Transit Trains Based on Coyote Optimization Algorithm |
932 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Macias, Paula; Ahern, Zeke; Corry, Paul; Rabbani, Wahi; Paz, Alexander | An optimization framework for crash data count models |
952 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Garcia de Andoin, Mikel*; Bottarelli, Alberto; Schmitt, Sebastian; Oregi, Izaskun; Hauke, Philipp; Sanz, Mikel | Formulation of the Electric Vehicle Charging and Routing Problem for a Hybrid Quantum-Classical Search Space Reduction Heuristic |
824 | OPT02 | 1B | 25 | 12.00-13.00 | Advanced Optimization Techniques | Sebastián V. Romero, Eneko Osaba*, Esther Villar-Rodriguez, Antón Asla | Solving Logistic-Oriented Bin Packing Problems through a Hybrid Quantum-Classical Approach |
971 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Song, Lei; Ma, Xiaohan; Hashemi, Ehsan; Wang, Hong | A Defensive Motion Framework for Autonomous Platoon to Handle Cut-in Maneuvers |
761 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Karbasi, Amir Hossein; Xu, Mingsai; He, Haifeng; Budisa, Steven; Yang, Hao; Yang, Cancan | The impact of truck platooning on traffic flow considering bridge safety index |
329 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Barghi Jond, Hossein | Control of Vehicle Platoons with Collision Avoidance Using Noncooperative Differential Games |
724 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | de Haan, Redmer; van der Sande, Tom; Lefeber, Erjen | Observer Based Cooperative Adaptive Cruise Control for Heterogeneous Vehicle Platoons with Actuator Delay |
1583 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Wei, Zhili; Xu, Chuan; Ozbay, Kaan; Yang, Yufeng; YANG, HONG; Zuo, Fan; Yang, Di; Fu, Chuanyun | Investigating Safety of Evasion Maneuver Choices by Human-Driven Vehicles in Response to High-Density Truck Platoons Near Freeway Diverging Areas |
651 | PLT01 | 5H | 27 | 11.30-13.00 | Intelligent Platooning | Hoang, The Anh | Optimal distributed signal control for platooning in connected vehicle networks |
1469 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | chah, badreddine; Lombard, Alexandre; Bkakria, Anis; ABBAS-TURKI, Abdeljalil; Yaich, Reda | H3PC: Enhanced Security and Privacy-Preserving Platoon Construction Based on Fully Homomorphic Encryption |
114 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | JIA, Shaocheng; Cai, Yuzhe; PEI, Xin; Yang, Zi; Wong, Wai; Wong, S.C. | Exploitation of String Stability to Predict Disturbance-triggered Platoon Collisions in Mixed Traffic Comprising Automated and Conventional Vehicles |
612 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | Yang, Siwen; Xu, Yunwen; Li, Dewei | Trajectory Optimization for Multi-lane Platoon Formation with Undefined Configurations |
1329 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | yang, lei; Liu, Yafei; Sun, Zhanbo; YAN, Qiruo; Qin, Ziye; Wang, Xuting | Stability Analysis of Connected Automated Vehicle Platoon Controller under Unreliable Communication Conditions |
1617 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | Ma, Guoqi; Pagilla, Prabhakar Reddy; Darbha, Swaroop | The effect of signal noise and latency in communicated acceleration on time headway in vehicle platooning |
246 | PLT02 | 5H | 27 | 15.00-16.30 | Intelligent Platooning | Gaagai, Ramzi; Horn, Joachim | Cooperative Adaptive Cruise Control of Heterogeneous Vehicle Platoons with Bidirectional Communication Using Artificial Potential Fields |
876 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Mahmud, Shoaib; Carydis, Madeleine; Shams, Andalib; Day, Christopher | Calibration of Robertsons Platoon Dispersion Model with Connected Vehicle Data |
1543 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Ji, Junyi; Wang, Yanbing; Barbour, William; Work, Daniel | Platoon Trajectory Reconstruction with Conflict Resolution Using Semidefinite Relaxation |
1477 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Mousavi, Shima Sadat; somayeh bahrami, somayeh; Kouvelas, Anastasios | Expanding the Boundaries of Stability: Enlarging the Region of Attraction in Mixed Platoon Systems |
1073 | PLT03 | 5H | 27 | 17.00-18.00 | Intelligent Platooning | Li, Liyou; Lyu, Hao; Cheng, Rongjun | STAdi-DMPC: A Trajectory Prediction Based Longitudinal Control of Connected and Automated Truck Platoon for Mixed Traffic Flow |
691 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Yang, Hexin; Huang, Yamin; Wen, Yuanqiao; Chen, Linying; Zhu, Man | Unit-based Trajectory Planning Methods for MASS in Inland Waters |
1606 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Qiang, Huimin; Xie, Shiyuan; Guo, Zhiyuan; Peng, Xiaodong | SocialVessel: VAE-inspired Multi-Vessel Gated Recurrent Units for Vessel Trajectory Prediction in Port Areas |
832 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Zhang, Xiaocai; FU, xiuju; Xiao, Zhe; Xu, Haiyan; WEI, XIAOYANG; Koh, Jimmy; Ogawa, Daichi; Qin, Zheng | Prediction of Vessel Arrival Time to Pilotage Area Using Multi-Data Fusion and Deep Learning |
1613 | PORTS01 | 1B | 25 | 14.00-15.00 | Ports and Waterways | Xin, Li; Yimei, Chen | Numerical Simulation of Collision Avoidance Behavior of Typical Ships in Construction Channel of the Yangtze River |
616 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Stenger, David; Reuscher, Tim; Vallery, Heike; Abel, Dirk | Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES) |
1186 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Davis, Teyah Kaitlyn | Mind the Gap: Addressing Inaccessibility on the London Underground |
503 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Cheng, Zhang; Yang, Letian; Zeng, Lingqiu; cheng, jiqiang; Han, Qingwen | Research on Congestion Control Method Based on Driving Risk Gaming |
1485 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Chen, Xu; Wang, Yishi; Di, Xuan | Whose Attitudes Towards Transit Are Most Affected by Rising Subway Crimes in New York City? |
255 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Tejada, Arturo; Legius, Michel; Kalose, Abhishek; Vieira Oliveira, Pedro Filipe; van Dam, Esra; Hogema, Jeroen | Towards a Practical Methodology for Defining Competent Driving |
1369 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Villarreal, Taylor; Poudel, Bibek; Li, Weizi | Can ChatGPT Enable ITS? The Case of Mixed Traffic Control via Reinforcement Learning |
383 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Buchheit, Benedikt; Grün, Tobias; Schneider, Elena N.; Alayan, Mohamad; Strauss, Daniel J. | Motion Sickness Prediction Based on Passengers Self Evaluation |
306 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Teikmanis, Oskars; Levinskis, Aleksandrs; Mackus, Andris Ivars; Rušiņš, Artis; Elkenawy, Amr; Tropa, Marta; Greitans, Modris | Automated Vehicle Platform with Connected Driving Capabilities |
1569 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Jayawardana, Sanjula; Jayawardana, Vindula; Vidanage, Kaneeka; Wu, Cathy | Multi-behavior Learning for Socially Compatible Autonomous Driving |
904 | SS09 | 5H | 27 | 10.00-11.30 | SS09: Artificial intelligence (AI)-driven last-mile logistics | Li, Hongchen; Li, Junqi; An, lianhua; Zhang, Xianhong; Xu, Zhenghao; Hu, Jia | A dispatching method for automated container terminals: What is next when precise execution is available? |
296 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Gim, UJu | Road Condition Anomaly Detection using Self-Supervised Learning from Audio |
660 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Zhang, Xiaofei; Xiao, Xin; Yang, Yingkai; Hao, Zhenmao; Li, Jun; WANG, HONG | EEG Signal Analysis for Early Detection of Critical Road Events and Emergency Response in Autonomous Driving |
681 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Pichen, Jürgen; Figalová, Nikol; Baumann, Martin | Cant Take My Eyes off You: Increasing Task Involvement in Cooperative Driving With Natural Habituated Interfaces |
852 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Gankhuyag, Delgermaa; Olaverri-Monreal, Cristina | Naturalistic Yielding Behavior of Drivers at an Unsignalized Intersection based on Survival Analysis |
1459 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Costa, Miguel; Marques, Manuel; Siebert, Felix Wilhelm; Lima Azevedo, Carlos; Moura, Filipe | Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons |
488 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Rodrigues de Almeida, Tiago; Martinez Mozos, Oscar | Likely, light, and accurate context-free clusters-based trajectory prediction |
1249 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Zhang, Wenqi; Qin, Yanjun; Zhang, Shanghang; Tao, Xiaoming | Electroencephalogram-based Driver Emotional State Detection with Manifold Learning |
1451 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Movaghar, Mahsa; Beherouzi, Saman; Krishnakumari, Panchamy; Hoogendoorn, Serge; van Lint, Hans | Exploring and Enriching the Effect of Different Road Incidents on Traffic Spatiotemporal Characteristics |
800 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Certad, Novel; Tschernuth, Sebastian; Olaverri-Monreal, Cristina | Extraction of Road Users Behavior From Realistic Data According to Assumptions in Safety-Related Models for Automated Driving Systems |
1111 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Nassif, Elias; Tian, Hanlin; Candela, Eduardo; Feng, Yuxiang; Angeloudis, Panagiotis; Ochieng, Washington | Safety Standards for Autonomous Vehicles: Challenges and Way Forward |
1542 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | YI, DEXIN | Complex accident, clear responsibility |
1283 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Papamichail, Ioannis; Schoenn-Anchling, Nicolas; Malekzadeh, Milad; Markantonakis, Vasileios; Papageorgiou, Markos | Macroscopic Traffic Flow Model Calibration for Lane-free Automated Vehicle Traffic |
1436 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Schachner, Martin; Schneider, Bernd; Weissenbacher, Fabian; Kirillova, Nadezda; Possegger, Horst; Bischof, Horst; Klug, Corina | Identifying and Extracting Pedestrian Behavior in Critical Traffic Situations |
1187 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Mukbil, Awad; Yousif, Yasin M.; Hossain, Sakif; Müller, Jörg P. | CTV-Dataset: A Shared Space Drone Dataset for Cyclist-Road User Interactions Derived from Campus Experiments |
1147 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Zhang, Yiran; Ban, Xuegang (Jeff) | RecSys Model to Infer Missing Transportation Mobility Data |
1275 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Líbano Monteiro, Mateus Da Silva Dias; Bernardino, Alexandre; Pinto, H. Sofia | BYTECounter: Improving Vehicle Turning-Movement Counting |
398 | DMDA03 | 5A | 26 | 15.00-16.30 | Data mining and Data Analysis | Kolff, Maurice; Venrooij, Joost; Schwienbacher, Markus; Pool, Daan Marinus; Mulder, Max | The Importance of Kinematic Configurations for Motion Control of Driving Simulators |
1530 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Zhao, Xuanpeng; Liao, Xishun; Wu, Guoyuan; Boriboonsomsin, Kanok; Barth, Matthew | Improving Truck Merging at Ramps in a Mixed Traffic Environment: A Multi-human-in-the-loop (MHuiL) Approach |
344 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Ochs, Sven; Schörner, Philip; Zofka, Marc René; Zöllner, J. Marius; Percin, Tolgahan | What can we learn from Virtual Sensor Models for Self Localization and Mapping for Autonomous Mobile Systems? |
896 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Zhang, Zhilin; Lv, Fei; Ying, ZhiPeng; Wang, Xi; Zhao, Hongli; TANG, Tao | A Stochastic Games based Resource Allocation Method for Cloud based Safe Computing Platform |
1142 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Siri, Enrico; Goatin, Paola | System-Optimal Dynamic Traffic Assignment with partial users control: an analysis of different strategies |
546 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Hill, Colton; Brown, Philip N. | The Tradeoff Between Altruism and Anarchy in Transportation Networks |
1630 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Zhang, Yuli; Wang, Shangbo; Ma, Xiaoguang; Yue, Wenwei; Jiang, Ruiyuan | Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach |
1321 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Xiao, Hongzhao; Lu, Yun; Su, Rong; Wang, Bohui; Zhao, Nanbin; HU, ZHIJIAN | Clustering and Analysis of the Driving Style in the Cut-in Process |
73 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Bao, Siya; Togawa, Nozomu | Multi-day Intermodal Travel Planning for Urban Cities Using Ising Machines |
1144 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Yamamoto, KOUJI; Oshima, Hajime; Takizawa, Masahito; Takahashi, Hideki; Tanaka, Shinji | Effective Information Transmission Method for Parking Guidance System at Expressway Rest Areas |
861 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Kloeker, Laurent; Jöken, Gregor; Eckstein, Lutz | Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility |
1678 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Lu, Xiong; Zhou, Fankai; Lv, Haoran; Tang, Chen | Towards Vehicular Domain Controller: A Multi-agent Approach to Control Coordination Considering Actuator Dynamics |
308 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Matthes, Philipp; Springer, Thomas; Jeschor, Daniel Maik | Accurate Bike Routing for Lane Prediction in GLOSA Apps via Infrastructure Reference Models |
1662 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Li, Yanyan; Xun, Jing; Liu, Hao; Mi, Jiayu; Ji, Xiangyu | An integrated approach for energy-efficient train operation considering bidirectional converter in urban rail transit |
584 | PTM01 | 5G | 25 | 12:00-13:00 | Public Transport Modeling | Guo, Rongge; Liu, Xiaoyu; Bhatnagar, Saumya; Vallati, Mauro | Real-Time Routing and Scheduling of On-Demand Autonomous Customized Bus Systems |
1122 | PTM01 | 5G | 25 | 12:00-13:00 | Public Transport Modeling | Zhang, Yifei; Li, Haiying; xu, xinyue; Wang, Yunjiao | Analyzing the influencing factors on bus-metro transfer ridership incorporating spatial heterogeneity based on multi-source data |
1084 | PTM01 | 5G | 25 | 12:00-13:00 | Public Transport Modeling | Zhao, Dong; Mihaita, Adriana-Simona; OU, Yuming; Grzybowska, Hanna | Modelling public transport patronage and traffic disruption impact evolution via Fourier transform |
1026 | PTM01 | 5G | 25 | 12:00-13:00 | Public Transport Modeling | Sederlin, Michael; Lidén, Tomas | A multiple trip vehicle routing approach to ferry service network design |
294 | PTM02 | 5G | 25 | 14:00-15:00 | Public Transport Modeling | Tong, Wencong; TENG, JING; Li, Jin-Yang; LI, Junxian; Zhou, Weixia | Enhancing the Speed: Stopping Braking Guidance for Trams Based on Fixed Lineside Signs |
1392 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Camargo, Oscar; Mejía, Gonzalo; Sarmiento, Alfonso Tulio; Uribe-Laverde, Miguel Angel | Improving the performance of a BRT station using local measurements and microsimulation |
863 | PTM02 | 5G | 25 | 14:00-15:00 | Public Transport Modeling | Holliday, Andrew; Dudek, Gregory | Augmenting Transit Network Design Algorithms with Deep Learning |
1556 | PTM02 | 5G | 25 | 14:00-15:00 | Public Transport Modeling | Mostafi, Sifatul; Fariha, Asma; El-Darieby, Mohamed; Elgazzar, Khalid; Azim, Akramul | A Novel Predictive Modelling Approach Towards a Spatiotemporal Traffic Safety Index |
945 | PTM03 | 5G | 25 | 15:00-16:30 | Public Transport Modeling | Cebecauer, Matej; Gundlegård, David; Jenelius, Erik; Burghout, Wilco | Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data |
1394 | PTM03 | 5G | 25 | 15:00-16:30 | Public Transport Modeling | Altaf, Raashid; BIYANI, PRAVESH | No Transfers Required: Integrating Last Mile with Public Transit Using Opti-Mile |
1157 | PTM03 | 5G | 25 | 15:00-16:30 | Public Transport Modeling | Chaaben, Mohamed; Baghbani, Asiye; Bouguila, Nizar; Patterson, Zachary | Multi-STGAC: A Graph Attention Based Model for Short-term Bus Passenger Flow Forecasting |
736 | PTM03 | 5G | 25 | 15:00-16:30 | Public Transport Modeling | Dib, Amir; Cherrier, Noëlie; Graive, Martin; Rérolle, Baptiste; Schmitt, Eglantine | Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data |
656 | PTM03 | 5G | 25 | 15:00-16:30 | Public Transport Modeling | Song, Yajie; Wang, Zhijian; Wang, Ruoyu | Research on travel paths based on car-hailing services connecting with rail transit |
770 | PTM03 | 5G | 25 | 15:00-16:30 | Public Transport Modeling | Dytckov, Sergei; Davidsson, Paul; Persson, Jan A. | Integrate, not compete! On Potential Integration of Demand Responsive Transport Into Public Transport Network |
1079 | PTM04 | 5G | 25 | 17:00-18:00 | Public Transport Modeling | Skoufas, Anastasios; Cebecauer, Matej; Burghout, Wilco; Jenelius, Erik | Generating and Evaluating Route Choice Sets for Large Multimodal Public Transport Networks: A Case Study for Stockholm Region |
1146 | PTM04 | 5G | 25 | 17:00-18:00 | Public Transport Modeling | Baghbani, Asiye; Rahmani, Saeed; Bouguila, Nizar; Patterson, Zachary | Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bbus Networks |
881 | PTM04 | 5G | 25 | 17:00-18:00 | Public Transport Modeling | Ratneswaran, Shiveswarran; Thayasivam, Uthayasanker | An Improved Bus Travel Time Prediction using Multi-Model Ensemble Approach for Heterogeneous Traffic Conditions |
632 | PTM04 | 5G | 25 | 17:00-18:00 | Public Transport Modeling | ZHANG, KE; Clarke, Siobhan; Liu, Hengchang | GATFormer: A Graph-based Transformer for Long-Term Traffic Overcrowding Forecasting |
1270 | PTM05 | 1B | 26 | 15:00-16:00 | Public Transport Modeling | Chaturvedi, Manish; Srivastava, Sanjay | Modelling and Analysis of Walk and Intelligent Feeder Service based Last Mile Connectivity to Metro Stations |
158 | PTM05 | 1B | 26 | 15:00-16:00 | Public Transport Modeling | Chen, Jinqu; Yue, Mengfan; Du, Bo; Peng, Qiyuan; Yin, Yong | Resilience Enhancement of an Urban Rail Transit Network by Temporarily Adjusting Regular Bus Transit Operation |
1685 | PTM05 | 1B | 26 | 15:00-16:00 | Public Transport Modeling | Wu, Zhikai; HU, jianming | PhaseLight: An Universal and Practical Traffic Signal Control Algorithms Based on Reinforcement Learning |
1602 | PTM05 | 1B | 26 | 15:00-16:00 | Public Transport Modeling | Zhou, Yicheng; Wang, Yihui; Besinovic, Nikola; Li, Bohan | Train rescheduling for a metro line under train rescue operation |
371 | RLD01 | 0B | 25 | 17:00-18:00 | Data mining in ITS: Reinforcement Learning | Frauenknecht, Bernd; Ehlgen, Tobias; Trimpe, Sebastian | Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control |
370 | RLD01 | 0B | 25 | 17:00-18:00 | Data mining in ITS: Reinforcement Learning | Yin, Jianwen; Jiang, Zhengmin; Liang, Qingyi; Li, Wenfei; Pan, Zhongming; Li, HuiYun; Liu, Jia | Efficient-Enhanced Reinforcement Learning for Autonomous Driving in Urban Traffic Scenarios |
1474 | RLD01 | 0B | 25 | 17:00-18:00 | Data mining in ITS: Reinforcement Learning | Lee, Kanghoon; Li, Jiachen; Isele, David; Park, Jinkyoo; Fujimura, Kikuo; Kochenderfer, Mykel | Robust Driving Policy Learning with Guided Meta Reinforcement Learning |
843 | RLD01 | 0B | 25 | 17:00-18:00 | Data mining in ITS: Reinforcement Learning | Zhong, Naiting; Chen, Junyi; Ma, Yining; Jiang, Wei | Decision Making for Driving Agent in Traffic Simulation via Adversarial Inverse Reinforcement Learning |
1427 | RLD02 | 5H | 26 | 12:00-13:00 | Data mining in ITS: Reinforcement Learning | Zong, Ziqi; Shi, Jiamin; Wang, Runsheng; Chen, Shitao; Zheng, Nanning | Human-Like Decision Making and Planning for Autonomous Driving with Reinforcement Learning |
675 | RLD02 | 5H | 26 | 12:00-13:00 | Data mining in ITS: Reinforcement Learning | Lee, Dongsu; Kwon, Minhae | Foresighted Decisions for Inter-vehicle Interactions: A Offline Reinforcement Learning Approach |
1295 | RLD02 | 5H | 26 | 12:00-13:00 | Data mining in ITS: Reinforcement Learning | Mei, Xutao; Fukushima, Nijiro; Yang, Bo; Wang, Zheng; Takata, Tetsuya; Nagasawa, Hiroyuki; Nakano, Kimihiko | Reinforcement learning based traffic signal control considering the railway information in Japan |
1035 | RLD02 | 5H | 26 | 12:00-13:00 | Data mining in ITS: Reinforcement Learning | Ransiek, Joshua; Schütt, Barbara Ulrike; Hof, Adrian; Sax, Eric | Generation of Adversarial Trajectories using Reinforcement Learning to Test Automated Driving Functions |
1024 | RMR01 | 0D | 26 | 11:00-12:00 | Ride Sharing | Paul, Joseph; Gurumurthy, Krishna Murthy; Cokyasar, Taner; Su, Haotian; Auld, Joshua; Jia, Yunyi | Optimization of Dynamic Ride-Sharing by Considering User Preference Through Discount and Delay Tolerance |
1294 | RMR01 | 0D | 26 | 11:00-12:00 | Ride Sharing | meng, danyang; Han, Ke | Optimizing Vehicle-Order Matching for Online Ride-Hailing with Vehicular Crowd-Sensing |
542 | RMR01 | 0D | 26 | 11:00-12:00 | Ride Sharing | Wu, Maoqiang; Guoliang, Cheng; Pavana, Prakash; Rong, Yu; Xiaoming, Xiong; Miao, Pan | Resting Your Car for Cash: Incentive Mechanism Based TNC Car Scheduling for Carbon Neutrality |
505 | RMR01 | 0D | 26 | 11:00-12:00 | Ride Sharing | Nilsson, Gustav; Geroliminis, Nikolas | On the Equilibrium and Stability Properties of a Macroscopic Model for Ride-Hailing Services with Limited Fleet Size |
586 | ROU01 | 1B | 26 | 12:00-13:00 | Routing | Suriyanarayanan, Shreevignesh; Paruchuri, Praveen; Varma, Girish | City-scale Pollution Aware Traffic Routing by Sampling Multiple Max Flows using MCMC |
1576 | ROU01 | 1B | 26 | 12:00-13:00 | Routing | Zhao, Jie; Chen, Chao; jiang, linli; liao, chengwu; An, Kaiqiang; Li, Yuanjie; Liu, guoping; Wen, Xiang; Hu, Runbo; Chai, hua | L2RR: Towards a More Diversified Navigation Service with Learning to Rank Routes Framework |
1120 | ROU01 | 1B | 26 | 12:00-13:00 | Routing | Shahedi, Alireza; Gallo, Federico; Sacco, Nicola | An Optimization approach for the Van-Robot Pairs Routing in the Physical Internet Framework |
345 | ROU01 | 1B | 26 | 12:00-13:00 | Routing | Mara, Setyo Tri Windras; Sarker, Ruhul; Essam, Daryl; Elsayed, Saber | Electric vehicle-drone routing problem with optional drone availability |
1523 | RTC01 | 3B | 28 | 11:00-12:30 | Road Traffic Control | Englezou, Yiolanda; Timotheou, Stelios; Panayiotou, Christos | A probabilistic approach for the calibration of incomplete microscopic traffic models |
283 | RTC01 | 3B | 28 | 11:00-12:30 | Road Traffic Control | Dai, Ping; Wang, Di; Su, Shuai | Distributed adaptive cooperative control for virtually coupled train set with state constraints and input saturation |
1430 | RTC01 | 3B | 28 | 11:00-12:30 | Road Traffic Control | Katsifaraki, Georgia D.; Menelaou, Charalambos; Timotheou, Stelios; Panayiotou, Christos | A novel Dynamic Pricing Route-Reservations architecture |
1178 | RTC01 | 3B | 28 | 11:00-12:30 | Road Traffic Control | Spoecklberger, Johannes; Micorek, Jakub; Possegger, Horst; Bischof, Horst | Towards Large-Scale Video-based Highway Traffic Monitoring |
862 | RTC01 | 3B | 28 | 11:00-12:30 | Road Traffic Control | Wang, Xiaoyu; Taitler, Ayal; Smirnov, Ilia; Scott Patrick Sanner, Scott; Abdulhai, Baher | eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control |
668 | RTC01 | 3B | 28 | 11:00-12:30 | Road Traffic Control | Qi, Hongsheng | Deep network assisted stochastic pontryagin maximum solution for urban road network perimeter control problem |
365 | RTM01 | 3B | 26 | 12:00-13:00 | Rail Transport and Rail Traffic Management | Gorsane, Rihab; Gorsan Mestiri, Khalil; Tapia Martinez, Daniel; Coyette, Vincent; makhlouf, Mohamed bayram; Vienken, Gereon; Truong, Minh Tri; Söhlke, Andreas; Hartleb, Johann; Kerkeni, Amine; Sturm, Irene; Küpper, Michael | Reinforcement Learning based Train Rescheduling on Event Graphs |
451 | RTM01 | 3B | 26 | 12:00-13:00 | Rail Transport and Rail Traffic Management | Liu, Jin | Schedule Extra Train(s) into Existing Timetable Using Actor-Critic Reinforcement Learning |
1645 | RTM01 | 3B | 26 | 12:00-13:00 | Rail Transport and Rail Traffic Management | Huang, Wenzheng; Wang, Yihui; Ren, Ai; Ju, Miaoyu; MENG, LINGYUN | An integrated cyclic train timetabling and rolling stock scheduling approach for a suburban railway line |
816 | RTM01 | 3B | 26 | 12:00-13:00 | Rail Transport and Rail Traffic Management | Wu, Yixuan; Ying, ZhiPeng; Wang, Hongwei; Wang, Xi | A Train Timetabling Optimization Method for Mixed Passenger and Freight Railway Transportation under the Prohibiting Meeting Requirement in the Section |
1641 | RTM02 | 3B | 26 | 15:00-16:30 | Rail Transport and Rail Traffic Management | Luo, Zhengwei; Lv, Jidong; Lv, Jiahui; Liu, Hongjie; Chai, Ming | Robust model predictive control strategy for virtually coupled train sets using time-varying tubes |
1390 | RTM02 | 3B | 26 | 15:00-16:30 | Rail Transport and Rail Traffic Management | Yan, Bin; Wang, Sicheng; Hu, Wenbo; Liu, Xianhua; Liu, Yan; Wang, Jin; Qiu, Shi | Semantic Segmentation of Railway Infrastructure based on Virtual Model Synthetic Data |
833 | RTM02 | 3B | 26 | 15:00-16:30 | Rail Transport and Rail Traffic Management | luo, Weijia; Liu, Jun; xu, xinyue | Examining the relationship between built environment and metro ridership at zone-to-zone level |
1108 | RTM02 | 3B | 26 | 15:00-16:30 | Rail Transport and Rail Traffic Management | WANG, Xiaoran; xu, xinyue; Zhang, Anzhong | A classification method for new line stations based on the mapping relationship between subway passenger flow and built environment* |
89 | RTM02 | 3B | 26 | 15:00-16:30 | Rail Transport and Rail Traffic Management | chen, liang; wei, zheng | Research on Quantitative Evaluation of Emergency Handling Workload of Railway Dispatcher |
947 | RTM02 | 3B | 26 | 15:00-16:30 | Rail Transport and Rail Traffic Management | Zhang, Xiaochen; Bu, Bing; zhao, junyi | A Novel Routing Method Based on Train Status for The Wireless Ad Hoc Network of TACS |
930 | RTM03 | 3B | 26 | 17:00-18:00 | Rail Transport and Rail Traffic Management | Zhang, Wei; Sun, Xubin; Liu, zhongtian; Yang, Liu | Research on Energy-saving Speed Curve of Heavy Haul Train Based on Reinforcement Learning |
1117 | RTM03 | 3B | 26 | 17:00-18:00 | Rail Transport and Rail Traffic Management | Wu, Suining; Li, Yang; Chen, Xiaoguang; Wang, Peichuan; Lin, Jinfeng | Railway Level Crossing Control System Based on Video Analysis and Train-Road Collaboration |
1296 | RTM03 | 3B | 26 | 17:00-18:00 | Rail Transport and Rail Traffic Management | Tian, Wanqi; Bu, Bing; Lv, Jidong; TANG, Tao; Li, Kaicheng | Trajectory Prediction of High-Speed Train Based on GMM-LSTM |
569 | RTM03 | 3B | 26 | 17:00-18:00 | Rail Transport and Rail Traffic Management | Jiang, Wenjie; Lai, Anzheng; Yu, Huazhen; Xiao, Zhiming; Yu, Xiaodong; Huang, Youneng | A Train Operation Strategy Based on Train Convoy for Single-track Freight Railway |
1323 | RTM04 | 5G | 26 | 15:00-16:00 | Rail Transport and Rail Traffic Management | Pickering, James; D'Souza, Joshua | Seamless Interchangeability: Initial Investigation into the Benefits |
682 | RTM04 | 5G | 26 | 15:00-16:00 | Rail Transport and Rail Traffic Management | Zhang, Qihe; li, Shunli; Liang, Zhiguo; Kong, Jiacheng; Wei, Dongdong; YANG, YONG; Chai, Ming; Wang, Hai-Feng | A distributed convergent clock synchronization algorithm based on exponential smoothing for cloud-based railway interlocking system |
1254 | RTM04 | 5G | 26 | 15:00-16:00 | Rail Transport and Rail Traffic Management | Zhang, Daqian; Lv, Jidong; Luo, Zhengwei; Liu, Hongjie; Chai, Ming; Wenxiang, Ge | Fault Diagnosis of CTCS-3 On-board Logic Function Based on SSGAN Framework |
1273 | RTM04 | 5G | 26 | 15:00-16:00 | Rail Transport and Rail Traffic Management | Zheng, Huan; Zhang, Qihe; Liang, Zhiguo; Kong, Jiacheng; Wei, Dongdong; YANG, YONG; Chai, Ming; Wang, Hai-Feng | A Hybrid Meta-Heuristic Algorithm of Load Balancing for Cloud-based Railway Interlocking System |
966 | SM01 | 0C | 27 | 10:00-11:30 | Simulation and Modelling | Naing, Htet; Cai, Wentong; YU, Jinqiang; Tiantian wu, tiantian; Yu, Liang | Physics-Guided Graph Convolutional Network for Modeling Car-Following Behaviors under Distributional Shift |
391 | SM01 | 0C | 27 | 10:00-11:30 | Simulation and Modelling | Das, Tanmay; Rouphail, Nagui; Samandar, Shoaib; Williams, Billy | A Limited, Real-World Assessment of Key Autonomous Vehicle Car Following Models |
552 | SM01 | 0C | 27 | 10:00-11:30 | Simulation and Modelling | Holley, Dustin; D'sa, Jovin; Nourkhiz Mahjoub, Hossein; Ali, Gibran; Chalaki, Behdad; Moradi-Pari, Ehsan | MR-IDM - Merge Reactive Intelligent Driver Model: Towards Enhancing Laterally Aware Car-following Models |
1619 | SM01 | 0C | 27 | 10:00-11:30 | Simulation and Modelling | Lee, Garyoung; Laval, Jorge; Chen, Danjue | A Global Search Problem on the Calibration of Two-regime Stochastic Car-following Model |
478 | SM01 | 0C | 27 | 10:00-11:30 | Simulation and Modelling | Itoh, Yutaro; Ichinose, Shigenori; Sugiyama, Tatsumi | Vehicle Convoy Control for Minimizing Total CO2 Emissions under Mixed Automated and Manual Driving Vehicles |
445 | SM01 | 0C | 27 | 10:00-11:30 | Simulation and Modelling | Felez, Jesus; Vaquero-Serrano, Miguel Angel | A Control Algorithm for a Coordinated Stop of a Convoy at Stations in a Virtual Coupling System Based on a Predecessor-Leader Following Communication Topology |
1319 | SM02 | 0C | 27 | 11:30-13:00 | Simulation and Modelling | Yamazaki, Yuji; Tamura, Yasumasa; Defago, Xavier; Javanmardi, Ehsan; Tsukada, Manabu | ToST: Tokyo SUMO traffic scenario |
957 | SM02 | 0C | 27 | 11:30-13:00 | Simulation and Modelling | Postigo, Ivan; Rydergren, Clas; Olstam, Johan | Modeling Perception Performance in Microscopic Simulation of Traffic Flows including Automated Vehicles |
1412 | SM02 | 0C | 27 | 11:30-13:00 | Simulation and Modelling | Abdelgadir, Gossai; Abbas, Montasir | Examination of Differentiated Per-Lane Speed Limits on Improving Traffic Safety: Microscopic Traffic Simulation Approach |
1511 | SM02 | 0C | 27 | 11:30-13:00 | Simulation and Modelling | LIGUO, ZHOU; Song, Yinglei; Knoll, Alois | GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow |
813 | SM02 | 0C | 27 | 11:30-13:00 | Simulation and Modelling | Tao, Ye; Javanmardi, Ehsan; Nakazato, Jin; Tsukada, Manabu; Esaki, Hiroshi | Flowsim: A Modular Simulation Platform for Microscopic Behavior Analysis of City-Scale Connected Autonomous Vehicles |
1253 | SM02 | 0C | 27 | 11:30-13:00 | Simulation and Modelling | Laufenberg, Jo; Kropf, Thomas; Bringmann, Oliver | CAN Simulation Framework - From Classic CAN to CAN XL |
815 | SM03 | 0C | 27 | 15:00-16:30 | Simulation and Modelling | Henke, Nils; Al-Rifai, Mohammad; Wagner, Mirko; Nolting, Michael; Tempelmeier, Nicolas | VISENSE for Vehicle Load Estimation and Fatigue Analysis |
775 | SM03 | 0C | 27 | 15:00-16:30 | Simulation and Modelling | Trindade Tolentino Bernardo, Guilherme; Aníbal de Aquino Guedes Filho, Edson; Ribeiro Correia, Anderson; Xavier Guterres, Marcelo | Optimizing Traffic Flow for Pedestrian Safety: Simulation-Based Analysis and Field Interventions in Jacareís Bridge Intersection |
1398 | SM03 | 0C | 27 | 15:00-16:30 | Simulation and Modelling | Chen, Haopeng; Müller, Steffen | Real-time Ray-Tracing-based Simulation of Motion Distortion Effect on LiDAR |
1507 | SM03 | 0C | 27 | 15:00-16:30 | Simulation and Modelling | Rahmani, Saeed; Neumann, Jan; Elbert Suryana, Lucas; Theunisse, Christiaan; Calvert, Simeon Craig; van Arem, Bart | A Bi-level Real-time Microsimulation Framework for Modeling Two-dimensional Vehicular Maneuvers at Intersections |
1593 | SM03 | 0C | 27 | 15:00-16:30 | Simulation and Modelling | He, Zhitong; Li, Lingxi | Simulation Framework for Vehicle and Electric Scooter Interaction |
291 | SM03 | 0C | 27 | 15:00-16:30 | Simulation and Modelling | Yang, Xiaoke; zhang, yong; Wang, Yafei; Dai, Kunpeng; Qin, Wengang; Yin, Chengliang | High-fidelity LiDAR Simulation System Based on Real Pointcloud Features |
1083 | SM04 | 0C | 27 | 17:00-18:00 | Simulation and Modelling | Chen, Zhaosen; Yin, Jiateng; Wu, Wei; Pu, Fan; TANG, Tao; Liu, Ronghui | Dynamic Modeling and Simulation of Train Resistances in Virtual Coupled Platoons for Railway Systems |
1077 | SM04 | 0C | 27 | 17:00-18:00 | Simulation and Modelling | Li, Ruoqing; Su, Shuai; Gu, Yukun; Zhang, Lei | Energy-efficient train control method based on batch constrained deep Q-learning |
1359 | SM04 | 0C | 27 | 17:00-18:00 | Simulation and Modelling | Yang, Min; Lv, Jidong; Luo, Zhengwei; Liu, Hongjie; Chai, Ming; Zhang, Lei | A Stochastic Reachable Set Trajectory Prediction Modelling Method for FollowingOperation of Urban Rail Trains |
1352 | SM04 | 0C | 27 | 17:00-18:00 | Simulation and Modelling | Ma, kai; Cao, Fang | Research on optimization of train operation plan based on interconnection |
1505 | SM05 | 5G | 27 | 17:00-18:00 | Simulation and Modelling | Ha, Won Yong; Chakraborty, Sayan; Yu, Yujie; Ghasemi, Samin; Jiang, Zhong-Ping | Automated Lane Changing through Learning-Based Control: An Experimental Study |
716 | SM05 | 5G | 27 | 17:00-18:00 | Simulation and Modelling | Neis, Nicole; Beyerer, Jürgen | A Two-Level Stochastic Model for the Lateral Movement of Vehicles within Their Lane under Homogeneous Traffic Conditions |
872 | SM05 | 5G | 27 | 17:00-18:00 | Simulation and Modelling | Ye, Shanding; Li, Tao; Li, Ruihang; Zehua, Zhang; Pan, Zhijie | Impact of HDMap-based Dynamic Dedicated Lanes for CAVs in Urban Networks |
1697 | SM05 | 5G | 27 | 17:00-18:00 | Simulation and Modelling | Zhao, Tong; ShangGuan, Wei; Chai, Linguo | A Non-Cooperative Dynamic Game-Based Approach for Lane Changing Decision-Making in Mixed Traffic Diversion Scenarios |
1231 | SM06 | 0C | 28 | 8:00-9:30 | Simulation and Modelling | Yan, Guozhi; Liu, Chunhui; Liu, Kai | ASPM: Reliability-oriented DNN Inference Partition and Offloading in Vehicular Edge Computing |
991 | SM06 | 0C | 28 | 8:00-9:30 | Simulation and Modelling | Kukic, Marija; Benchelabi, Salim; Bierlaire, Michel | Hybrid Simulator for Capturing Dynamics of Synthetic Populations |
1679 | SM06 | 0C | 28 | 8:00-9:30 | Simulation and Modelling | KANG, MINJI; Park, Hyun Su; Kwon, Oh Hoon; Park, Shin Hyoung | Road Geometry Safety Evaluation Based on Driver Behavior Using a Driver Simulator |
905 | SM06 | 0C | 28 | 8:00-9:30 | Simulation and Modelling | Eisemann, Leon; Fehling-Kaschek, Mirjam; Hermann, David; Klemp, Marvin; Lauer, Martin; Lickert, Benjamin; Lüttner, Florian; Moss, Robin; Neis, Nicole; Pohle, Maria; Romanski, Simon; Stadler, Daniel; Stolz, Alexander; Gommel, Henrik; Ziehn, Jens; Zhou, Jingxing | An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions |
1344 | SM06 | 0C | 28 | 8:00-9:30 | Simulation and Modelling | Yu, Feiyang; Long, Tingting; Cui, Zhichao; Xu, Linhai; Li, Li; Zhang, Chi | Pedestrian Simulation by Learning from Online Human Demonstration with VR Headset |
1315 | SM06 | 0C | 28 | 8:00-9:30 | Simulation and Modelling | Syed, Arslan Ali; Zhang, Yunfei; Bogenberger, Klaus | Data-driven Spatio-Temporal Scaling of Travel Times for AMoD Simulations |
1265 | SM07 | 0C | 28 | 10:00-11:00 | Simulation and Modelling | Malayjerdi, Mohsen; Kaljavesi, Gemb; Diermeyer, Frank; Sell, Raivo | Scenario-based Validation for Autonomous Vehicles with Different Fidelity Levels |
1258 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Abolo-Sewovi, Komi Romain; Lamrous, Sid Ahmed; Atchonouglo, Kossi; Baala, Oumaya | Generating on-demand mobility data for urban vehicles based on bus aggregated data |
1181 | SM07 | 0C | 28 | 10:00-11:00 | Simulation and Modelling | Shang, Mingfeng; Wang, Shian; Stern, Raphael | Capacity implications of personalized adaptive cruise control |
692 | SM07 | 0C | 28 | 10:00-11:00 | Simulation and Modelling | Schütt, Barbara Ulrike; Otten, Stefan; Sax, Eric | Clustering-based Criticality Analysis for Testing of Automated Driving Systems |
731 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Randriamiarintsoa, Elie; Laconte, Johann; Thuilot, Benoit; Aufrere, Romuald | Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments |
1470 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Contreras Cabrera, Marcelo Jafett; Bhatt, Neel P.; Hashemi, Ehsan | DynaStreet-SVO: A Stereo Visual Odometry Framework with Augmented Perception for Dynamic Urban Environments |
450 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Overbye, Tim; Saripalli, Srikanth | Radar only Off-Road Local Navigation |
1095 | SP10 | 0D | 26 | 15.00-16.30 | Sensing And Perception | Chen, Weibang; Wang, Yafei; Liu, Xulei | NEAR: Noise-aware Temporal Encoder and Adaptive Recurrent Interaction for Motion Forecasting |
301 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Wang, Xiaoqin; Yin, Yunfei; Huang, Faliang; Bao, Xianjian | MLM-Net:Streamlined Multi-lane Detection Network with Spatio-temporal Memory for Video Instance Lane Detection |
455 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Getahun, Tesfamichael; Karimoddini, Ali | GPS-guided Vision-based Lane Detection for Autonomous Vehicles |
1039 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Schmidt, Jonathan; Khan, Qadeer; Cremers, Daniel | LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels |
960 | SP01 | 0E | 25 | 11:00-13:00 | Sensing And Perception | Kee, Da Wei; Zhang, Jun; Li, Heshan; Peng, Guohao; Zheng, Lunan; Chia, Timothy; Pan, Shu Ting; WEN, MINGXING; Ma, Yingchong; Wang, Danwei | Continental-NTU Delivery Robot Dataset for Perception and Navigation on Footpath |
711 | SP02 | 0E | 25 | 14:00-15:30 | Sensing And Perception | Zhou, Hongkuan; Sui, Aifen; Shi, Letian; Li, Yinxian | Penalty-Based Imitation Learning With Cross Semantics Generation Sensor Fusion for Autonomous Driving |
1447 | SP02 | 0E | 25 | 14:00-15:30 | Sensing And Perception | Bhattacharjee, Arnab; Chen, Wen-Hui; Lin, Yu-Chen | Improved ELBO-assisted Transformer for Skeleton-Based Action Recognition |
647 | SP02 | 0E | 25 | 14:00-15:30 | Sensing And Perception | Huang, Jia; Gautam, Alvika; Choi, Junghun; Saripalli, Srikanth | WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions |
1514 | SP02 | 0E | 25 | 14:00-15:30 | Sensing And Perception | Zhang, Haoyuan; Li, Zifeng; Wu, Zhenyu; Wang, Danwei | A Lightweight RGB-T Fusion Network for Practical Semantic Segmentation |
342 | SP02 | 0E | 25 | 14:00-15:30 | Sensing And Perception | Zhao, Yang; Wang, Xiao; Cheng, Hong | Radar-Camera Fusion Transformer for Object Detection with Uncertainty Estimation |
174 | SP02 | 0E | 25 | 14:00-15:30 | Sensing And Perception | YI, EUIIN; Chung, HyunHee; Park, Kyung Ho | Learning Spatiotemporal Representation in Nighttime Driving Video for Road Flood Detection |
286 | SP03 | 0E | 25 | 15:30-16:30 | Sensing And Perception | zhang, changlong; wei, jimin; Qu, Shibo; she, xianning; dai, jingang; Ou, Sheng; wang, zetao | A Roadside Cooperative Perception System with Multi-Camera Fusion at an Intersection |
1441 | SP03 | 0E | 25 | 15:30-16:30 | Sensing And Perception | Bai, Zhengwei; Wu, Guoyuan; Barth, Matthew; Liu, Yongkang; Sisbot, Emrah Akin; Oguchi, Kentaro | Dynamic Feature Sharing for Cooperative Perception from Point Clouds |
360 | SP03 | 0E | 25 | 15:30-16:30 | Sensing And Perception | Huet, Rémy; Lima, Antoine; Xu, Philippe; Cherfaoui, Véronique; BONNIFAIT, Philippe | Collaborative Grid Mapping for Moving Object Tracking Evaluation |
118 | SP03 | 0E | 25 | 15:30-16:30 | Sensing And Perception | Tsai, Darren; Berrio Perez, Julie Stephany; Shan, Mao; Nebot, Eduardo; Worrall, Stewart | MS3D: Leveraging Multiple Detectors for Unsupervised Domain Adaptation in 3D Object Detection |
236 | SP04 | 0E | 25 | 17:00-18:00 | Sensing And Perception | ling, yancheng; Zhang, Qi; Weng, Xiao-xiong; Ma, Zhenliang | STMA-GCN_PedCross: Skeleton Based Spatial-Temporal Graph Convolution Networks with Multiple Attentions for Fast Pedestrian Crossing Intention Prediction |
657 | SP04 | 0E | 25 | 17:00-18:00 | Sensing And Perception | Heidari, Farzan; Dalirani, Farhad; Rahman, Taufiq; Singh Cheema, Daniel; Beauchemin, Steven; Bauer, Michael | A Solution for Cross-Calibration of Gaze Tracker System and Stereoscopic Scene System |
658 | SP04 | 0E | 25 | 17:00-18:00 | Sensing And Perception | Heidari, Farzan; Dalirani, Farhad; Rahman, Taufiq; Singh Cheema, Daniel; Bauer, Michael | Multi-Depth Cross-Calibration of Gaze Tracker and LiDAR Systems |
1362 | SP04 | 0E | 25 | 17:00-18:00 | Sensing And Perception | Lengerer, Daniel; Pechinger, Mathias; Markgraf, Carsten | Transfer-Learning of a LiDAR Detection Algorithm Pre-Trained on Autonomous Driving Data for Roadside Infrastructure Application |
994 | SP05 | 5G | 26 | 17:00-18:00 | Sensing And Perception | Brooks, Isaac; Gogineni, Susmitha; Jha, Sumit; Jagadev Ray, Soumitry; Narasimha, Rajesh; Al-Dhahir, Naofal; Busso, Carlos | MSP-DISK: Naturalistic and Diverse In-Vehicle Database for Joint Pose and Seat Belt Detection |
167 | SP05 | 5G | 26 | 17:00-18:00 | Sensing And Perception | Horn, Markus; Wodtko, Thomas; Buchholz, Michael; Dietmayer, Klaus | User Feedback and Sample Weighting for Ill-Conditioned Hand-Eye Calibration |
205 | SP05 | 5G | 26 | 17:00-18:00 | Sensing And Perception | Liu, tongtong; Dong, Honghui; Zhou, Yue; Jia, Lim; Qin, Yong | Research on Intelligent Vehicle Traffic Scenes Mapping Algorithm Considering Dynamic Objects |
441 | SP05 | 5G | 26 | 17:00-18:00 | Sensing And Perception | Zhang, Mengke; Fei, Wenyu; Yang, Jun | Skeleton-Based Pedestrian Gesture Detection for Autonomous Driving |
1627 | SP06 | 0B | 26 | 10:00-11:30 | Sensing And Perception | Hassan, Yasir; Zhao, Junxuan; Sartipi, Mina | Deep Learning-Based Framework for Traffic Estimation for the MLK Smart Corridor in Downtown Chattanooga, TN |
644 | SP06 | 0B | 26 | 10:00-11:30 | Sensing And Perception | Can, Yigit Baran; Liniger, Alexander; Paudel, Danda Pani; Van Gool, Luc S. J. | Online Lane Graph Extraction from Onboard Video |
645 | SP06 | 0B | 26 | 10:00-11:30 | Sensing And Perception | Can, Yigit Baran; Liniger, Alexander; Paudel, Danda Pani; Van Gool, Luc S. J. | Prior Based Online Lane Graph Extraction from Single Onboard Camera Image |
220 | SP06 | 0B | 26 | 10:00-11:30 | Sensing And Perception | Ebert, Nikolas; Reichardt, Laurenz; Didier, Stricker; Wasenmüller, Oliver | Light-Weight Vision Transformer with Parallel Local and Global Self-Attention |
272 | SP06 | 0B | 26 | 10:00-11:30 | Sensing And Perception | ZHANG, Qingwen; Duberg, Daniel; GENG, RUOYU; Jia, Mingkai; Wang, Lujia; Jensfelt, Patric | A Dynamic Points Removal Benchmark in Point Cloud Maps |
1288 | SP06 | 0B | 26 | 10:00-11:30 | Sensing And Perception | Li, Jincheng; Shen, Yanqing; Xin, Jingmin; Zheng, Nanning | JVPR: Bilateral Information Interaction by Joint Training for Sequence-Based Visual Place Recognition |
157 | SP07 | 0B | 26 | 11:30-13:00 | Sensing And Perception | zhao, tianci; bai, xue; Fang, Jianwu; Xue, Jianru | Gated Driver Attention Predictor |
443 | SP07 | 0B | 26 | 11:30-13:00 | Sensing And Perception | Bikandi San Millan, Martin; Velez, Gorka; Aginako Bengoa, Naiara; Irigoien, Itziar | Synthetic outlier generation for anomaly detection in autonomous driving |
477 | SP07 | 0B | 26 | 11:30-13:00 | Sensing And Perception | Okuya, Tsubasa; Yoneda, Masaki; Ogawa, Takashi | Environment Recognition with FMCW-LiDAR-based Dynamic Occupancy Grid Mapping |
628 | SP07 | 0B | 26 | 11:30-13:00 | Sensing And Perception | Han, Hongcheng; Tian, Zhiqiang; Liu, Yuying; Li, Shengpeng; Zhang, Dong; Du, Shaoyi | GSA-Gaze: Generative Self-adversarial Learning for Domain Generalized Driver Gaze Estimation |
922 | SP07 | 0B | 26 | 11:30-13:00 | Sensing And Perception | Zhou, Jingxing; Wandelburg, Nick; Beyerer, Jürgen | Unknown-Aware Hierarchical Object Detection in the Context of Automated Driving |
1018 | SP07 | 0B | 26 | 11:30-13:00 | Sensing And Perception | Riaz, Muhammad Naveed; Wielgosz, Maciej; García Romera, Abel; López, Antonio M. | Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction |
1058 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | Nigam, Archana; Srivastava, Sanjay | Generating Realistic Synthetic Traffic Data using Conditional Tabular Generative Adversarial Networks for Intelligent Transportation Systems |
141 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | Patil, Kaushal; Patel, Panth; Kaveshgar, Maryam | Evaluating Depth Estimation Algorithms in Unstructured Driving Environments |
868 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | Wang, Yiting; Zhao, Haonan; Debattista, Kurt; Donzella, Valentina | The Effect of Camera Data Degradation Factors on Panoptic Segmentation for Automated Driving |
1440 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | Wachtel Granado, Diogo; Queiroz, Samuel; Schön, Torsten; Huber, Werner; Faria, Lester | A novel Conditional Generative Adversarial Networks for Automotive Radar Range-Doppler Targets Synthetic Generation |
1256 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | Rodriguez Criado, Daniel; Chli, Maria; Manso, Luis J.; Vogiatzis, George | Synthesizing Traffic Datasets using Graph Neural Networks |
340 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | JACQUEMART, Alexandre; Ieng, Sio-Song; HADJ-BACHIR Mokrane, Mokrane; BENSRHAIR, Abdelaziz; Gruyer, Dominique | 3-GWD : A Textural and AI-Based Approach for Real-Time Detection of Weather Disturbances Applied to Autonomous Vehicle |
879 | SP08 | 0B | 26 | 15:00-16:30 | Sensing And Perception | Gerner, Jeremias; Rößle, Dominik; Cremers, Daniel; Bogenberger, Klaus; Schön, Torsten; Schmidtner, Stefanie | Enhancing Realistic Floating Car Observers in Microscopic Traffic Simulation |
1587 | SP09 | 0B | 26 | 17:00-18:00 | Sensing And Perception | Wei, Chuheng; Wu, Guobin; Barth, Matthew; Chan, Pak Hung; Donzella, Valentina; Huggett, Anthony | Enhanced Object Detection by Integrating Camera Parameters into Raw Image-Based Faster R-CNN |
4 | SP09 | 0B | 26 | 17:00-18:00 | Sensing And Perception | Nguyen, Duong-Van; Molander, Sören; Golla, Lokesh Chandra Sekhar | Moving Object Detection with Photometric Monocular SLAM on a Moving Ego-Platform |
1420 | SP09 | 0B | 26 | 17:00-18:00 | Sensing And Perception | Rahman, Zillur; Morris, Brendan | LVLane: Deep Learning for Lane Detection and Classification in Challenging Conditions |
794 | SP09 | 0B | 26 | 17:00-18:00 | Sensing And Perception | Ninan, Stephen; Rathinam, Sivakumar; Mittal, Harsh; Benjamin, Sunny | R2D2: Rural Road Detection Dataset |
1531 | SP10 | 0D | 26 | 15:00-16:30 | Sensing And Perception | Pandey, Jyotsna; Kudo, Takumi; TAKU, SHIMIZU; Imamoto, Kenji | ArUco-based Automatic Extrinsic Sensor Calibration for Driverless Train System |
426 | SP10 | 0D | 26 | 15:00-16:30 | Sensing And Perception | Kopp, Johannes; Kellner, Dominik; Piroli, Aldi; Dallabetta, Vinzenz; Dietmayer, Klaus | Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data |
1014 | SP10 | 0D | 26 | 15:00-16:30 | Sensing And Perception | Cui, Can; Ma, Yunsheng; Lu, Juanwu; Wang, Ziran | Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion |
689 | SP10 | 0D | 26 | 15:00-16:30 | Sensing And Perception | Bowen, Pang; Zhang, Qihe; Chai, Ming; Wang, Hai-Feng | An Efficient Network for Obstacle Detection in Rail Transit Based on Multi-task Learning |
1306 | SP11 | 0B | 27 | 10:00-11:30 | Sensing And Perception | Zou, Zhiyuan; Tian, Yunlian; Lin, Yiru; Yang, Jiaye; Yi, Wei | A Two-stage Deep Network for the Quantity Estimation and Detection of Multiple Swarm-type Targets Using Radar RD Images |
1480 | SP11 | 0B | 27 | 10:00-11:30 | Sensing And Perception | Gómez-Huélamo, Carlos; Conde, Marcos; Gutiérrez-Moreno, Rodrigo; Barea, Rafael; Llamazares, Angel; Antunes Garcia, Miguel; Bergasa, Luis M. | Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction |
1093 | SP11 | 0B | 27 | 10:00-11:30 | Sensing And Perception | YIN, Huilin; Lu, Yu; Lin, Jia; Schratter, Markus; Watzenig, Daniel | Multi-Object Tracking with Object Candidate Fusion for Camera and LiDAR data |
819 | SP11 | 0B | 27 | 10:00-11:30 | Sensing And Perception | Cheng, Xianning; Deng, Jiayin; Hu, Zhiqun; Lu, Zhaoming; Wen, Xiangming | Continuous Trajectory Tracking Across Sensors at Intersection using Dynamic Target Set within the Overlapping Area |
1672 | SP11 | 0B | 27 | 10:00-11:30 | Sensing And Perception | Almeida, Eurico; Silva, Bruno; Batista, Jorge | Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification |
838 | SP11 | 0B | 27 | 10:00-11:30 | Sensing And Perception | Rastogi, Tanay; Björkman, Mårten | Automated Construction of Time-Space Diagrams for Traffic Analysis Using Street-View Video Sequences |
403 | SP12 | 0B | 27 | 11:30-13:00 | Sensing And Perception | Zimmer, Walter; Creß, Christian; Nguyen, Huu Tung; Knoll, Alois | TUMTraf Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception |
829 | SP12 | 0B | 27 | 11:30-13:00 | Sensing And Perception | EL MRHASLI, Younesse; Büyükköprü, Mert; TAOURARTI, IMANE; Mouton, Xavier; Monsuez, Bruno; TAPUS, Adriana | Multi-Horizon Virtual Sensor for Controllable Suspensions: A Benchmark of SOTA Deep Forecasting Models |
1693 | SP12 | 0B | 27 | 11:30-13:00 | Sensing And Perception | Jiang, Zhou; Yang, Jing; Li, Jie; Zhang, Dong; Du, Shaoyi | PointHGSA: Efficient Point Cloud Understanding with Hypergraph-Based Self-Attention Network |
479 | SP12 | 0B | 27 | 11:30-13:00 | Sensing And Perception | Piroli, Aldi; Dallabetta, Vinzenz; Kopp, Johannes; Walessa, Marc; Meissner, Daniel; Dietmayer, Klaus | LS-VOS: Identifying Outliers in 3D Object Detections Using Latent Space Virtual Outlier Synthesis |
1279 | SP12 | 0B | 27 | 11:30-13:00 | Sensing And Perception | Piroli, Aldi; Dallabetta, Vinzenz; Kopp, Johannes; Walessa, Marc; Meissner, Daniel; Dietmayer, Klaus | Towards Robust 3D Object Detection In Rainy Conditions |
1388 | SP12 | 0B | 27 | 11:30-13:00 | Sensing And Perception | Lu, Zhiyao; Zhang, Haolin; Wang, Ruotong; Chen, Shitao; Xu, Linhai; Zheng, Nanning | Towards Better 3D Visual Lane Detection in Traffic Scenes via Leveraging Object Semantics |
1350 | SP13 | 0B | 27 | 15:00-16:30 | Sensing And Perception | xu, cuichun; Kingston, Peter; Djuric, Nemanja | Improved Tracking of Articulated Vehicles in Self-Driving Applications Using Phantom Observations |
1176 | SP13 | 0B | 27 | 15:00-16:30 | Sensing And Perception | Horel, Jean-Baptiste; Baruffa, Robin; Rummelhard, Lukas; Renzaglia, Alessandro; Laugier, Christian | A Navigation-Based Evaluation Metric for Probabilistic Occupancy Grids: Pathfinding Cost Mean Square Error |
166 | SP13 | 0B | 27 | 15:00-16:30 | Sensing And Perception | Wodtko, Thomas; Griebel, Thomas; Buchholz, Michael | Adaptive Patched Grid Mapping |
625 | SP13 | 0B | 27 | 15:00-16:30 | Sensing And Perception | Li, Yongwei; song, tao; Wu, Xinkai | Robust Construction of Spatial-temporal Scene Graph Considering Perception Failures for Autonomous Driving |
1027 | SP13 | 0B | 27 | 15:00-16:30 | Sensing And Perception | Pavlitska, Svetlana; Lambing, Nico; Bangaru, Ashok Kumar; Zöllner, J. Marius | Traffic Light Recognition using Convolutional Neural Networks: A Survey |
1057 | SP13 | 0B | 27 | 15:00-16:30 | Sensing And Perception | Sun, Yiyang; Wang, Xiaonian; Zhang, yangyang; Tang, Jiagui; Tang, Xiaqiang; Yao, Jing | Interpretable End-To-End Driving Model for Implicit Scene Understanding |
1347 | SP14 | 0B | 27 | 17:00-18:00 | Sensing And Perception | Takayoshi, yokota | Vehicle Localization by Correlated MEMS Sensor Data with Velocity Compensation |
162 | SP14 | 0B | 27 | 17:00-18:00 | Sensing And Perception | Li, Zijia; SONG, ZHAN; Xiao, zhenzhong | Exploring Compact and Efficient Neural Networks for Real-Time Semantic Segmentation |
1008 | SP14 | 0B | 27 | 17:00-18:00 | Sensing And Perception | Heinkelé, Christophe; Holler, Colin; El krine, Abdessamad; STRESSER, Aude; Muzet, Valérie | Hybrid AI road markings analysis from a retroreflectometer |
1208 | SP14 | 0B | 27 | 17:00-18:00 | Sensing And Perception | Zuo, Fan; Gao, Jingqin; Ozbay, Kaan; Bian, Zilin; Zhang, Daniel | Urban Work Zone Detection and Sizing: A Data-Centric Training and Topology-Based Inference Approach |
408 | SP15 | 5B | 27 | 15:00-16:00 | Sensing And Perception | Zhang, Dapeng; Zhi, Peng; Yong, Binbin; Jin-Qiang, Wang; guo, lan; HOU, YUFENG; Zhou, Qingguo; Zhou, Rui | EHSS: An Efficient Hybrid-supervised Symmetric Stereo Matching Network |
1134 | SP15 | 5B | 27 | 15:00-16:00 | Sensing And Perception | Han, Jiawei; Liu, Kaiqi | Stacked and Distillation Network Framework for Point Cloud Semantic Segmentation |
704 | SP15 | 5B | 27 | 15:00-16:00 | Sensing And Perception | Li, Jingzhong; yang, lin; Chen, Yuxuan; Yang, Yixin; Jin, Yue; Akiyama, Kanta | PillarDAN: Pillar-based Dual Attention Network for 3D Object Detection with 4D RaDAR |
1558 | SP15 | 5B | 27 | 15:00-16:00 | Sensing And Perception | Bellusci, Matteo; Cudrano, Paolo; Mentasti, Simone; Cortelazzo, Riccardo Erminio Filippo; Matteucci, Matteo | Semantic Bird's-Eye View Road Line Mapping |
128 | SP16 | 5A | 25 | 14:00-15:30 | Sensing And Perception | Guan, Runwei; Yao, Shanliang; Zhu, Xiaohui; Man, Ka Lok; lim, eng gee; Smith, Jeremy; Yue, Yong; Yue, Yutao | Achelous: A Fast Unified Water-Surface Panoptic Perception Framework Based on Fusion of Monocular Camera and 4D mmWave Radar |
1290 | SP16 | 5A | 25 | 14:00-15:30 | Sensing And Perception | GOMES, IAGO; Premebida, Cristiano; Wolf, Denis | Interaction-aware Maneuver Intention Prediction using Gated Mixture-of-Experts Attention Mechanism |
1312 | SP16 | 5A | 25 | 14:00-15:30 | Sensing And Perception | Munir, Farzeen; Azam, Shoaib; Kucner, Tomasz; Kyrki, Ville; Jeon, Moongu | Radar-Lidar Fusion for Object Detection by Designing Effective Convolution Networks |
1322 | SP16 | 5A | 25 | 14:00-15:30 | Sensing And Perception | Sun, Huawei; Feng, Hao; Stettinger, Georg; Servadei, Lorenzo; Wille, Robert | Multi-Task Cross-Modality Attention-Fusion for 2D Object Detection |
1562 | SP16 | 5A | 25 | 14:00-15:30 | Sensing And Perception | Wu, XuKe; Xiong, Gang; Song, Bing; Ye, Peijun; zhu, fenghua | Small Object Detector Using Contextual Local Features and Global Representations for Autonomous Driving |
1528 | SP16 | 5A | 25 | 14:00-15:30 | Sensing And Perception | Zhang, Jun; Zhuge, Huayang; Liu, Yiyao; Peng, Guohao; Wu, Zhenyu; Zhang, Haoyuan; LYU, QIYANG; Li, Heshan; Zhao, Chunyang; Kircali, Dogan; Mharolkar, Sanat; Yang, Xun; Yi, Su; Wang, Yuanzhe; Wang, Danwei | NTU4DRadLM: 4D Radar-centric Multi-Modal Dataset for Localization and Mapping |
1650 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Wen, Tuopu; Jiang, Kun; Miao, Jinyu; Wijaya, Benny; Yang, Mengmeng; Yang, Diange | Scale Drift-free Visual-inertial Odometry for Ground Vehicles in Highway Scenarios |
216 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Li, Bo; Li, Yiming | CalibTower: Automatic Camera-Lidar-GNSS/INS Calibration Based on Low-Cost Infrastructure |
231 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Wei, Zihang; Yan, Rujiao; Schreier, Matthias | Deep Radar Inverse Sensor Models for Dynamic Occupancy Grid Maps |
251 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Akita, Tokihiko; MITA, Seiichi | Parking vehicle shape estimation using millimeter-wave radar applying semi-supervised learning |
714 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Reich, Andreas; Wuensche, Hans Joachim Joe | Detection of Moving Objects based on Efficient Particle Tracking in 1.5D LiDAR Range Images |
998 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Ruppel, Felicia; Faion, Florian; Gläser, Claudius; Dietmayer, Klaus | Group Regression for Query Based Object Detection and Tracking |
1465 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Swaminathan, Harihara Bharathy; Sommer, Aron; Andreas Becker, Andreas; Atzmueller, Martin | Spatial Change Detection Using Automotive Radar |
634 | SP17 | 5A | 25 | 11:00-13:00 | Sensing And Perception | Bi, Xin; Weng, Caien; Zhang, Bo; Liu, Yong; Tong, Panpan | Radar and Camera Fusion Dehazing for Road Vehicle Detection in Haze Weather |
110 | SP18 | 5A | 25 | 15:30-16:30 | Sensing And Perception | Liu, Ziming; Malis, Ezio; Martinet, Philippe | Multi-masks Generation for Increasing Robustness of Dense Direct Methods |
332 | SP18 | 5A | 25 | 15:30-16:30 | Sensing And Perception | Henning, Matti; Buchholz, Michael; Dietmayer, Klaus | Advancing Frame-Dropping in Multi-Object Tracking-by-Detection Systems Through Event-Based Detection Triggering |
510 | SP18 | 5A | 25 | 15:30-16:30 | Sensing And Perception | Shi, Ze; Shi, Hao; Yang, Kailun; Yin, Zhe; Lin, Yining; WANG, KAIWEI | PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View |
801 | SP18 | 5A | 25 | 15:30-16:30 | Sensing And Perception | Arshad, Saba; Park, Tae-Hyoung | ViSem: A Visual and Semantic Information Fusion Based Place Recognition for Long Term Autonomous Navigation |
363 | SP19 | 5A | 25 | 17:00-18:00 | Sensing And Perception | Fu, Yongjian; Ye, Shanding; Lin, Hu; Pan, Zhijie | Elastic Disentangle-based Training for Point Cloud Segmentation Model with Remission Perturbation |
587 | SP19 | 5A | 25 | 17:00-18:00 | Sensing And Perception | Meng, Dejiang; Tian, Bin; Pan, Ziyu; Wang, Junhui; Chen, Long | DSNRNet: A Network of LiDAR Data Denoising by Differential Stability in Underground Mine |
906 | SP19 | 5A | 25 | 17:00-18:00 | Sensing And Perception | Zhuang, Genghang; Bing, Zhenshan; Huang, Kai; Knoll, Alois | Toward Neuromorphic Perception: Spike-driven Lane Segmentation for Autonomous Driving using LiDAR Sensor |
1051 | SP19 | 5A | 25 | 17:00-18:00 | Sensing And Perception | Xu, Huaiyuan; Liu, Huaping; Meng, Shiyu; Sun, Yuxiang | A Novel Place Recognition Network using Visual Sequences and LiDAR Point Clouds for Autonomous Vehicles |
187 | SP20 | 0E | 28 | 11:00-12:00 | Sensing And Perception | Yang, Lu; Bai, Yiwen; Ren, Fenglei; Zhang, Shiyu; Bi, Chongke | LCFNet: Loss Compensation Fusion Network for Real-Time Semantic Segmentation of Urban Road Scenes |
529 | SP20 | 0E | 28 | 11:00-12:00 | Sensing And Perception | Benericetti, Andrea; Bellaccini, Niccolò; Piñeiro Monteagudo, Henrique; Simoncini, Matteo; Sambo, Francesco | An object detection approach for lane change and overtake detection from motion profiles |
768 | SP20 | 0E | 28 | 11:00-12:00 | Sensing And Perception | Argui, Imane; Guériau, Maxime; Ainouz-Zemouche, Samia | A mixed-reality framework based on depth camera for safety testing of autonomous navigation systems. |
808 | SP20 | 0E | 28 | 11:00-12:00 | Sensing And Perception | Li, Yuxin; Han, Qiang; Yu, Mengying; Jiang, Yuxin; Yeo, Chai Kiat; Li, Yiheng; Huang, Zihang; Liu, Nini; Chen, Hsuanhan; Wu, Xiaojun | Towards Efficient 3D Object Detection in Birds-Eye-Space for Autonomous Driving: A Convolutional-Only Approach |
1153 | SP21 | 0E | 28 | 8:00-9:30 | Sensing And Perception | FENG, Zhen; Guo, Yanning; Sun, Yuxiang | CPKD: Channel and Position-wise Knowledge Distillation for Segmentation of Road Negative Obstacles |
1211 | SP21 | 0E | 28 | 8:00-9:30 | Sensing And Perception | Liu, Tianqi; Zhang, Shanghang; Qin, Yanjun; Tao, Xiaoming | A Text Prompt-Based Approach for Zero-Shot Corner Case Object Detection in Autonomous Driving |
1260 | SP21 | 0E | 28 | 8:00-9:30 | Sensing And Perception | Baeg, Juheon; Park, Jongwon | Oriented Bounding Box Detection Robust to Vehicle Shape on Road under Real-Time Constraints |
1357 | SP21 | 0E | 28 | 8:00-9:30 | Sensing And Perception | Yang, Yi; ZHANG, Qingwen; Gilles, Thomas; Nazre, Batool; Folkesson, John | RMP: A Random Mask Pretrain Framework for Motion Prediction |
1486 | SP21 | 0E | 28 | 8:00-9:30 | Sensing And Perception | Broedermann, Tim; CHRISTOS, SAKARIDIS; Dai, Dengxin; Van Gool, Luc S. J. | HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection |
1526 | SP21 | 0E | 28 | 8:00-9:30 | Sensing And Perception | Cudrano, Paolo; Bellusci, Matteo; macino, giuseppe; Matteucci, Matteo | Continual Cross-Dataset Adaptation in Road Surface Classification |
1218 | SP22 | 1B | 27 | 11.30-12.30 | Sensing And Perception | Liu, Yunpeng; Lioutas, Vasileios; Lavington, Jonathan; Niedoba, Matthew; Sefas, Justice; Dabiri, Setareh; Green, Dylan Scott; Liang, Xiaoxuan; Zwartsenberg, Berend; Scibior, Adam; Wood, Frank | Video Killed the HD-Map: Predicting Multi-Agent Behavior Directly From Aerial Images |
1555 | SP22 | 1B | 27 | 11.30-12.30 | Sensing And Perception | Pahadia, Himanshu; Lu, Duo; Chakravarthi, Bharatesh; Yang, Yezhou | SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras |
1263 | SP22 | 1B | 27 | 11.30-12.30 | Sensing And Perception | Chen, Shitao; Zhang, Haolin; Yan, Yuchen; Zheng, Nanning | From Independence to Cooperation: A Novel Keypoint Extraction Framework for Autonomous Systems |
1567 | SP22 | 1B | 27 | 11.30-12.30 | Sensing And Perception | Nham, Seungwoo; Lee, Jinho; Kamijo, Shunsuke | DCSeg-Net: Driver's Cognition Based Semantic Segmentation by Multi-Level Feature Extraction |
336 | SU01 | 3B | 25 | 11:00-12:00 | Scenario Understanding | Ruchiga, Maria; Sainct, Remi; Saint Pierre, Guillaume; Gruyer, Dominique | Generic ontology and framework for critical scenario description and generation. Applied to evaluation and validation of Automated Vehicle |
204 | SU01 | 3B | 25 | 11:00-12:00 | Scenario Understanding | Kolb, Nicola; Schmidt, Tabea; Fröhlich, Joachim; Pretschner, Alexander | When to Apply Scenario-Based Testing to a New System Domain? |
1442 | SU01 | 3B | 25 | 11:00-12:00 | Scenario Understanding | Wang, Jiacheng; Fu, Jiawei; Chen, Shitao; Xin, Jingmin; Zheng, Nanning | Interactive-TEB: Effective Trajectory Planning in Mixed Traffic Scenarios Considering Kinodynamic Constraints |
269 | SU01 | 3B | 25 | 11:00-12:00 | Scenario Understanding | Dorpmüller, Philip; Schmitz, Thomas; Bejagam, Naveen; Bertram, Torsten | Time-Optimal Trajectory Planning in Highway Scenarios using Basis-Spline Parameterization |
495 | SU02 | 3B | 25 | 12:00-13:00 | Scenario Understanding | Finkeldei, Florian; Althoff, Matthias | Synthesizing Traffic Scenarios from Formal Specifications Using Reachability Analysis |
607 | SU02 | 3B | 25 | 12:00-13:00 | Scenario Understanding | Guo, Detian; Muñoz Sánchez, Manuel; de Gelder, Erwin; van der Sande, Tom | Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles |
525 | SU02 | 3B | 25 | 12:00-13:00 | Scenario Understanding | Johansson, Edvin; Sönnergaard, Matilda; Selpi, Selpi; Rahrovani, Sadegh; Basimfar, Parsia | Scenario-based trajectory generation and density estimation towards risk analysis of autonomous vehicles |
721 | SU02 | 3B | 25 | 12:00-13:00 | Scenario Understanding | Jiang, Wei; Chen, Junyi; Ma, Yining; Zhang, Lingtong; Zhong, Naiting | A Generation Method of Unknown Unsafe Scenarios for Autonomous Vehicles |
172 | SU03 | 3B | 25 | 15:30-16:30 | Scenario Understanding | Kondapalli, Chaitanya Pavan Tanay; Kondoju, Bhanu Prakash; Veer, Vaibhav Prakash; Konda, Krishna Reddy; Kyatham, Praveen Kumar | Traffic light recognition for diverse road scenarios |
1292 | SU03 | 3B | 25 | 15:30-16:30 | Scenario Understanding | Wang, Hairui; Chen, Yanbo; Yu, Huilong; Xi, Junqiang | Social Cascade FNN: An Interpretable Learning-based Decision-making Framework for Autonomous Driving in Lane Changing Scenarios |
230 | SU03 | 3B | 25 | 15:30-16:30 | Scenario Understanding | Birkemeyer, Lukas; King, Christian; Schaefer, Ina | Is Scenario Generation Ready for SOTIF? A Systematic Literature Review |
798 | SU03 | 3B | 25 | 15:30-16:30 | Scenario Understanding | Birkemeyer, Lukas; Fuchs, Julian; Gambi, Alessio; Schaefer, Ina | SOTIF-Compliant Scenario Generation Using Semi-Concrete Scenarios and Parameter Sampling |
737 | SU04 | 3B | 25 | 17:00-18:00 | Scenario Understanding | Glasmacher, Christoph; Schuldes, Michael; Weber, Hendrik; Wagener, Nicolas; Eckstein, Lutz | Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition |
916 | SU04 | 3B | 25 | 17:00-18:00 | Scenario Understanding | Izquierdo, Rubén; Martin Serrano, Sergio; Alonso Ruiz, Javier; Parra, Ignacio; Sotelo, Miguel A.; Fernández-Llorca, David | Human-vehicle interaction for autonomous vehicles in crosswalk scenarios: Field experiments with pedestrians and passengers |
268 | SU04 | 3B | 25 | 17:00-18:00 | Scenario Understanding | Martin Serrano, Sergio; Izquierdo, Rubén; García Daza, Iván; Sotelo, Miguel A.; Fernandez Llorca, David | Digital twin in virtual reality for human-vehicle interactions in the context of autonomous driving |
739 | SU04 | 3B | 25 | 17:00-18:00 | Scenario Understanding | Yang, Yuhang; Kujanpää, Kalle; Babadi, Amin; Pajarinen, Joni; Ilin, Alexander | Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles |
1172 | SU05 | 0C | 28 | 11.00-12.30 | Scenario Understanding | Schulz, Patrick; Viehl, Alexander; Bringmann, Oliver | Fast Environment Generation Methods for Virtual Testing |
1655 | SU05 | 0C | 28 | 11.00-12.30 | Scenario Understanding | Bao, Naren; Carballo, Alexander; Tsukada, Manabu; Takeda, Kazuya | Personalized Causal Factor Generalization for Subjective Risky Scene Understanding with Vision Transformer |
421 | SU05 | 0C | 28 | 11.00-12.30 | Scenario Understanding | Gaetan, Elisa; Giarre', Laura; Sacone, Simona; Falcone, Paolo; Heiker, Carl-Johan | Modelling traffic scenarios via Markovian Opinion Dynamics |
168 | SU05 | 0C | 28 | 11.00-12.30 | Scenario Understanding | Zhu, Mengjia; Bemporad, Alberto; Kneissl, Maximilian; Esen, Hasan | Learning Critical Scenarios in Feedback Control Systems for Automated Driving |
1025 | SU05 | 0C | 28 | 11.00-12.30 | Scenario Understanding | Yuan, Quan; Pan, Ruixu; Deng, Jihao; Li, Tianhao; Chen, Xiaohong | Multi-scenario Route Choice Modeling based on Random Parameters Multinomial Logit Model with Heterogeneity in Means and Variance |
1594 | TB01 | 5G | 26 | 11:00-12:00 | TestBeds | Ha, Seongmin; Lee, Myungsu; Hwang, Youngseo; Kim, Bongseob; Yun, Kyungsu; Lee, Hyeongcheol | Connected Vehicle-in-the-Loop Test Environment with V2X Communication and its Applications for Connected and Automated Vehicles |
1429 | TB01 | 5G | 26 | 11:00-12:00 | TestBeds | Wehmer, Marek; Baumgart, Ingmar | The Fast Rise of Cautious Vehicle-to-X: Towards Evaluating Misbehavior Detection in the Field |
249 | TB01 | 5G | 26 | 11:00-12:00 | TestBeds | Pilz, Christoph; Steinberger, Alina; Kuschnig, Lukas; Schratter, Markus; Neumayr, Thomas; Steinbauer-Wagner, Gerald | Positional Accuracy Provided by State-of-the-Art Cooperative Awareness and Collective Perception |
1527 | TB01 | 5G | 26 | 11:00-12:00 | TestBeds | Zhao, Yaqiong; Li, Dewei; Zhang, Qi; Wang, Xinglan | Integrated Optimization of Train Timetable and Stop Plan Based on Virtual Coupling |
1464 | TB02 | 5G | 26 | 12:00-13:00 | TestBeds | Crispim-Junior, Carlos Fernando; Guesdon, Romain; Jallais, Christophe; Laroche, Florent; Souche-Le Corvec, Stephanie; Tougne Rodet, Laure | AutoExp: A multidisciplinary, multi-sensor framework to evaluate human activities in self-driving cars |
310 | TB02 | 5G | 26 | 12:00-13:00 | TestBeds | Yang, Zhehui; Arya, Deeksha; Zhao, Chenbo; Maeda, Hiroya; Sekimoto, Yoshihide | Are Utility Poles within Sight? Unleashing the Power of Vision for Effortless Roadside Management |
1050 | TB02 | 5G | 26 | 12:00-13:00 | TestBeds | Tang, Weiyu; Wang, Lei | Research on License Plate Recognition Algorithm in Hazy Weather Based on Deep Learning |
1340 | TB02 | 5G | 26 | 12:00-13:00 | TestBeds | Fiorita, Andrea Massimo; Fiorita, Marco; Hoffman, Alwyn Jakobus | The development of an IoT in-road sensing device for pavement health monitoring |
548 | TCS01 | 5B | 27 | 11:30-13:00 | Traffic Control and Signaling | Xu, Kaiyuan; Cassandras, Christos | Scaling up the Optimal Safe Control of Connected and Automated Vehicles to a Traffic Network: A Hierarchical Framework of Modular Control Zones |
1522 | TCS01 | 5B | 27 | 11:30-13:00 | Traffic Control and Signaling | Sabouni, Ehsan; Ahmad, H M Sabbir; Cassandras, Christos; Li, Wenchao | Merging Control in Mixed Traffic with Safety Guarantees: A Safe Sequencing Policy with Optimal Motion Control |
725 | TCS01 | 5B | 27 | 11:30-13:00 | Traffic Control and Signaling | Yosodipuro, Nicholaus Danispadmanaba; Javanmardi, Ehsan; Nakazato, Jin; Tamura, Yasumasa; Defago, Xavier; Tsukada, Manabu | Mixed-traffic Intersection Management using Traffic-load-responsive Reservation and V2X-enabled Speed Coordination |
90 | TCS01 | 5B | 27 | 11:30-13:00 | Traffic Control and Signaling | Lin, Dianchao; Li, Li; Nian, Xue; Wang, Lei | Learning Imminent Throughput for Real-Time Intersection Control with Deep Neural Network |
1277 | TCS01 | 5B | 27 | 11:30-13:00 | Traffic Control and Signaling | Schlamp, Anna-Lena; Gerner, Jeremias; Bogenberger, Klaus; Schmidtner, Stefanie | User-Centric Green Light Optimized Speed Advisory with Reinforcement Learning |
763 | TCS01 | 5B | 27 | 11:30-13:00 | Traffic Control and Signaling | Yang, Hao; Farid, Yashar; Ucar, Seyhan; Oguchi, Kentaro | Centralized Dynamic Vehicle Routing with Macroscopic Fundamental Diagram |
1563 | TCS02 | 5B | 27 | 17:00-18:00 | Traffic Control and Signaling | Tang, Yu; Ozbay, Kaan; Jin, Li | Robust Queue Length Estimation for Ramp Metering in a Connected Vehicle Environment |
1200 | TCS02 | 5B | 27 | 17:00-18:00 | Traffic Control and Signaling | Zhang, Zhiyao; Quinones Grueiro, Marcos; Barbour, William; Zhang, Yuhang; Biswas, Gautam; Work, Daniel | Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study |
637 | TCS02 | 5B | 27 | 17:00-18:00 | Traffic Control and Signaling | Chen, Yingqing; Cassandras, Christos | Scalable Adaptive Traffic Light Control Over a Traffic Network Including Transit Delays |
561 | TCS02 | 5B | 27 | 17:00-18:00 | Traffic Control and Signaling | Smirnov, Ilia; Scott Patrick Sanner, Scott; Abdulhai, Baher | A Case for Monte Carlo Tree Search in Adaptive Traffic Signal Control: Modifiability, Interpretability and Generalization |
564 | TI01 | 1B | 26 | 11:00-12:00 | Travel Information | Hu, Xinghong; Wang, Qiang; Zhang, Wenqi; Xu, Chen | RGMARL: Vehicle Dispatching Based on Road Information and Supply-Demand Distribution |
1267 | TI01 | 1B | 26 | 11:00-12:00 | Travel Information | Okaidjah, Dorcas; Day, Christopher | Use of Connected Vehicle Data to Explore the Influence of Dynamic Message Sign Displays of the Number of Road Fatalities on Adjacent Freeway Segment Vehicle Speeds |
1482 | TI01 | 1B | 26 | 11:00-12:00 | Travel Information | Menelaou, Charalambos; Timotheou, Stelios; Kolios, Panayiotis; Panayiotou, Christos | Joint Route Guidance and Demand Management Strategy in the Presence of Uncertain Demand |
124 | TI01 | 1B | 26 | 11:00-12:00 | Travel Information | Tran, Yen; Hashimoto, Naohisa; Ando, Takafumi; Sato, Toshihisa; Miura, Takahiro | Travel-Activity Patterns Identification Using Graph Edit Distance |
871 | TMOC01 | 1B | 27 | 10.00-11.30 | Theory and Models For Optimization and Control | Zhang, Yunjia; Dai, Xuewu; Cui, Dongliang | Research on Joint Optimization of Timetable Rescheduling and Train Operation for Energy Saving Urban Rails |
1618 | TMOC01 | 1B | 27 | 10.00-11.30 | Theory and Models For Optimization and Control | Ding, Miaomiao; Wang, Yihui; Zhou, Yicheng; Zhao, Kangqi; Zhu, Songwei; krishdyologhy, muhammad thywoo | Collaborative optimization of train timetable and train formation plan combined with passenger flow control strategy |
115 | TMOC01 | 1B | 27 | 10.00-11.30 | Theory and Models For Optimization and Control | zhang, dongning; Hu, JiaPeng; Zhang, Yong | Collaborative operation control method for virtual train formation with unknown train model parameters |
134 | TMOC01 | 1B | 27 | 10.00-11.30 | Theory and Models For Optimization and Control | Yi, lingzhi; YI, Yu; Wang, Yahui | Freight Train Speed Active Disturbance Rejection Tracking and Wheel Anti-slip Based on T-S Fuzzy Neural Network |
254 | TMOC01 | 1B | 27 | 10.00-11.30 | Theory and Models For Optimization and Control | Liu, Junqing; Su, Shuai | Optimization of Train Operation Based on Cooperative Game under Virtual Coupling Condition |
435 | TMOC01 | 1B | 27 | 10.00-11.30 | Theory and Models For Optimization and Control | Zhao, Zixu; Lv, Jidong; Zhou, Boyuan; Lu, Wanli; Chai, Ming; Liu, Hongjie | Intelligent Train Tracking Control Based on Monte Carlo Tree Method |
807 | UQ01 | 5B | 26 | 11:00-12:00 | Trustworthy AI for ITS | Weber, Jakob; Gurtner, Markus; Zips, Patrik; Kugi, Andreas | Uncertainty Quantification for Closed-Loop Dynamical Systems: An application-based comparison |
1574 | UQ01 | 5B | 26 | 11:00-12:00 | Trustworthy AI for ITS | Kolaric, Patrik; Jing, Junbo; Huang, Chunan; qu, shen; Jingxuan Liu, Jingxuan; Zhao, Yufei; Wang, Lei | Gaussian process model of trajectory uncertainty in safety-critical autonomous driving |
377 | UQ01 | 5B | 26 | 11:00-12:00 | Trustworthy AI for ITS | Zhang, Haoming; Wang, Zhanxin; Vallery, Heike | Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network |
549 | UQ01 | 5B | 26 | 11:00-12:00 | Trustworthy AI for ITS | Wang, Zepu; Zhuang, Dingyi; Li, Yankai; Zhao, Jinhua; Sun, Peng; Wang, Shenhao; Hu, Yulin | ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks |
265 | UQ02 | 5B | 26 | 12:00-13:00 | Trustworthy AI for ITS | Huynh, Manh; Alaghband, Gita | Multi-modal Sensor Framework with Learnable Uncertainty Estimator for Pedestrian Trajectory Prediction |
1330 | UQ02 | 5B | 26 | 12:00-13:00 | Trustworthy AI for ITS | Karkhanis, Priyanka; Dajsuren, Yanja; van den Brand, Mark | Investigating uncertainty in behavioral modeling for C-ITS services |
1710 | UQ02 | 5B | 26 | 12:00-13:00 | Trustworthy AI for ITS | Dreissig, Mariella; Piewak, Florian; Boedecker, Joschka | On the Calibration of Uncertainty Estimation in LiDAR-based Semantic Segmentation |
720 | UQ02 | 5B | 26 | 12:00-13:00 | Trustworthy AI for ITS | Chamideh, SeyedeZahra; Tärneberg, William; Kihl, Maria | Impact of Positioning Uncertainty on Autonomous Intersection Management System |
326 | SS01 | 3B | 25 | 14.00-15.30 | SS01:Safe-Critical Scenario Understanding in Intelligent Transportation Systems (SCSU-ITS) | Zhao, Zhiying*; Liang, Yunji; Zhang, Peng; Ji, Yapeng | Robust 3D Multi-object Tracking in Adverse Weather with Hard Sample Mining |
572 | SS01 | 3B | 25 | 14.00-15.30 | SS01:Safe-Critical Scenario Understanding in Intelligent Transportation Systems (SCSU-ITS) | Kang, Kai; Zhang, Yunxing; Zhang, Jie; Jia, Wenjian*; ZHU, Tong | Extraction and analysis of causation patterns from investigation reports of severe traffic crashes in China |
797 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | zhao, wei*; wei, qiyu; zeng, zeng | A Deeply Supervised Semantic Segmentation Method Based on GAN |
1236 | SS01 | 3B | 25 | 14.00-15.30 | SS01:Safe-Critical Scenario Understanding in Intelligent Transportation Systems (SCSU-ITS) | Li, Chuyu*; Zhu, Yongdong | A Q-learning approach for energy-efficient trajectory design: stochastic event capture using a fixed-wing UAV |
1703 | SS01 | 3B | 25 | 14.00-15.30 | SS01:Safe-Critical Scenario Understanding in Intelligent Transportation Systems (SCSU-ITS) | Martinez Seras, Aitor*; Del Ser, Javier; Garcia-Bringas, Pablo | Efficient Object Detection in Autonomous Driving using Spiking Neural Networks: Performance, Energy Consumption Analysis, and Insights into Open-set Object Discovery |
823 | SS01 | 3B | 25 | 14.00-15.30 | SS01:Safe-Critical Scenario Understanding in Intelligent Transportation Systems (SCSU-ITS) | Miranda Herrero, Alejandro; Perez Benito, Cristina; Pujol, David; Serrat, Joan; Jevtić, Aleksandar | Pedestrian movement prediction based on camera vision and deep learning model |
544 | SS03 | 3B | 27 | 15.00-16.30 | SS03: Emerging data science for achieving zero fatality on roadways | Oh, Minsoo; Dong-O'Brien, Jing* | Investigating Mobility and Safety Impacts of Winter Maintenance Operations Using Connected Vehicle Data |
554 | SS03 | 3B | 27 | 15.00-16.30 | SS03: Emerging data science for achieving zero fatality on roadways | Shihab, Ibne; Sharma, Anuj*; bhagat, sudesh | Robust and Precise Sidewalk Detection with Ensemble Learning: Enhancing Road Safety and Facilitating Curb Space Management |
566 | SS03 | 3B | 27 | 15.00-16.30 | SS03: Emerging data science for achieving zero fatality on roadways | Irizar Da Silva, Imanol*; Zhang, Meng; Gimm, Kay | A collaborative framework for semi-automatic scenario-based mining of big road user data |
1382 | SS03 | 3B | 27 | 15.00-16.30 | SS03: Emerging data science for achieving zero fatality on roadways | Lei, Yiyuan*; Ozbay, Kaan | Naturalistic Driving Data Analytics: Safety Evaluation With Multi-state Survival Models |
1671 | SS03 | 3B | 27 | 15.00-16.30 | SS03: Emerging data science for achieving zero fatality on roadways | Joshi, Aparna*; Merickel, Jennifer; Desouza, Cyrus; Rizzo, Matthew; Gunaratne, Pujitha; Sharma, Anuj | Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach |
1694 | SS03 | 3B | 27 | 15.00-16.30 | SS03: Emerging data science for achieving zero fatality on roadways | Grigorev, Artur; Mihaita, Adriana-Simona; Saleh, Khaled | Traffic Accident Risk Forecasting using Contextual Vision Transformers with Static Map Generation and Coarse-Fine-Coarse Transformers |
226 | SS04 | 0C | 26 | 17.00-18.00 | SS04: Aviation Systems Intelligent Computational Models | Demouge, Céline*; Guitart, Andréas; Dannet, Gaspard; Delahaye, Daniel | An adapted Fast Marching Tree for contrails mitigation: A short-and long-range flight study |
343 | SS04 | 0C | 26 | 17.00-18.00 | SS04: Aviation Systems Intelligent Computational Models | Romani de Oliveira, Ítalo*; Mayne, Aaron; Matsumoto, Thiago T.; Gracia Berna, Antonio | Analyzing the Closed-Loop Performance of Detect-And-Avoid Systems |
685 | SS04 | 0C | 26 | 17.00-18.00 | SS04: Aviation Systems Intelligent Computational Models | Thompson, Ellis Lee*; Xu, Yan; Wei, Peng | One-Shot Strategically Deconflicted Route and Operational Volume Generation for Urban Air Mobility Operations |
576 | SS04 | 0C | 26 | 17.00-18.00 | SS04: Aviation Systems Intelligent Computational Models | Kohaut, Simon; Flade, Benedict; Dhami, Devendra Singh; Eggert, Julian; Kersting, Kristian | Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs |
428 | SS05 | 5B | 25 | 11.00-12.00 | SS05: Advanced Traffic and Network Management | Katzilieris, Konstantinos*; Kampitakis, Emmanouil; Vlahogianni, Eleni I. | AI assisted Dynamic Bus Lane Control in Connected Urban Environments: The case of Intermittent Dynamic Bus Lanes |
431 | SS05 | 5B | 25 | 11.00-12.00 | SS05: Advanced Traffic and Network Management | Kampitakis, Emmanouil*; Katzilieris, Konstantinos; Vlahogianni, Eleni I. | Integrated Signal and Bus Lane Control: An intersection-level approach |
588 | SS05 | 5B | 25 | 11.00-12.00 | SS05: Advanced Traffic and Network Management | Gkiotsalitis, Konstantinos*; Amalia, Nikolopoulou | The Pickup and Delivery Problem with Crossdock for Perishable Goods |
1509 | SS05 | 5B | 25 | 11.00-12.00 | SS05: Advanced Traffic and Network Management | Ghosh, Arka*; Angarita-Zapata, Juan; Masegosa Arredondo, Antonio David; Arriandiaga, Ander | A Taxonomy of Signal Vehicle Coupled Control from a Mathematical Programming Perspective |
261 | SS06 | 5G | 25 | 11.00-12.00 | SS06: 7th Special Session on Intelligent Public Transport | Petersen, Niklas Christoffer; Rodrigues, Filipe*; Pereira, Francisco | Representation learning of rare temporal conditions for travel time prediction |
771 | SS06 | 5G | 25 | 11.00-12.00 | SS06: 7th Special Session on Intelligent Public Transport | Carboni, Andrea; Leone, Giuseppe Riccardo*; Nardi, Simone; Corrado, Alfonso; Moroni, Davide | A novel smart camera network for real time public transport monitoring and surveillance |
831 | SS06 | 5G | 25 | 11.00-12.00 | SS06: 7th Special Session on Intelligent Public Transport | Huang, Yuzhu; Abdelhalim, Awad*; Stewart, Anson; Zhao, Jinhua; Koutsopoulos, Haris N. | Reconstructing Transit Vehicle Trajectory Using High-Resolution GPS Data |
1589 | SS06 | 5G | 25 | 11.00-12.00 | SS06: 7th Special Session on Intelligent Public Transport | Cho, Shin-Hyung; Lee, Inmook; MIN, Jaehong; KIM, KYOUNGTAE* | TRIPS Simulation Program: Evaluating for the Efficiency of Transit Route Adjustment Strategies |
1222 | SS07 | 0D | 26 | 10.00-11.00 | SS07: New Technological Trends in Shared Mobility Systems | Yan, Sen*; Zhu, Shaoshu; Fernandez, Jaime B.; Arazo, Eric; Gu, Yingqi; O'Connor, Noel; O'Connor, David; Liu, Mingming | Breathing Green: Maximising Health and Environmental Benefits for Active Transportation Users Leveraging Large Scale Air Quality Data |
873 | SS07 | 0D | 26 | 10.00-11.00 | SS07: New Technological Trends in Shared Mobility Systems | Su, Haotian; Gangadharaiah, Rakesh; Paul, Joseph; Boor, Lisa; Kolodge, Kristin; Gurumurthy, Krishna Murthy; Khan, Nazmul Arefin; Auld, Joshua; Brooks, Johnell; Jia, Yunyi | Exploring Demographic Factors behind the User Preferences in Ridesharing Services |
1174 | SS07 | 0D | 26 | 10.00-11.00 | SS07: New Technological Trends in Shared Mobility Systems | Amerehi, Fatemeh; Healy, Patrick | Ridesharing: The Impact of Traffic Restrictions and Role Flexibility |
1262 | SS07 | 0D | 26 | 10.00-11.00 | SS07: New Technological Trends in Shared Mobility Systems | Yin, Ailing; Xiaohong, Chen; Guojian, Zou | A fusion deep learning network for shared e-bike demand prediction with spatiotemporal dependencies |
494 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Cañas, Paola Natalia*; García, Mikel; Aranjuelo, Nerea; Nieto, Marcos; Iglesias, Aitor; Rodriguez, Igor | Dynamic Risk Assessment Methodology with an LDM-based System for Parking Scenarios |
501 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Apellániz, Jose Luis*; García, Mikel; Aranjuelo, Nerea; Barandiarán, Javier; Nieto, Marcos | LiDAR-based curb detection for ground truth annotation in AD validation |
535 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Iñiguez de Gordoa, Jon Ander*; García Torres, Sara; Vega de la Iglesia, Lara del P.; Urbieta, Itziar; Aranjuelo, Nerea; Nieto, Marcos; Ochoa de Eribe, Daniel | Scenario-Based Validation of Automated Train Systems Using a 3D Virtual Railway Environment |
713 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Wolf, Dominik Werner*; Ulrich, Markus; Braun, Alexander | Windscreen Optical Quality for AI Algorithms: Refractive Power and MTF not Sufficient |
1020 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Charmet, Thibault*; Cherfaoui, Véronique; Ibanez Guzman, Javier; Armand, Alexandre | Towards Operational Design Domain Monitoring for Safe Intelligent Vehicle Navigation |
1308 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Li, Chenhao; Wang, Yijin; Li, Kuang; Fan, Qianhui; Shen, Yu*; Ji, Yuxiong | Human-like Evaluation of Visual Perception System for Autonomous Vehicles Based on Human Visual Attention |
1513 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Marcano Sandoval, Mauricio*; Sarabia, Joseba; Zubizarreta, Asier; Diaz Briceño, Sergio Enrique | Validation of critical maneuvers based on shared control |
486 | SS08 | 5H | 26 | 10.00-12.00 | SS08: Verification and Validation of Autonomous Driving functions, and Key Enabling technologies | Wen, Licheng; Fu, Daocheng; Mao, Song; Cai, Pinlong; Dou, Min; Li, Yikang | LimSim: A Long-term Interactive Multi-scenario Traffic Simulator |
1298 | SS09 | 5H | 27 | 10.00-11.30 | SS09: Artificial intelligence (AI)-driven last-mile logistics | Hu, Xinting; Wu, Yu; Pang, Bizhao* | Path Planning for Drone Delivery in Dense Building Environments |
1707 | SS09 | 5H | 27 | 10.00-11.30 | SS09: Artificial intelligence (AI)-driven last-mile logistics | Laña, Ibai; Olabarrieta, Ignacio; Del Ser, Javier | Efficient Platooning for Urban Last Mile Logistics Using Multi-Objective Optimization: Performance Comparison and Load Strategies |
830 | SS09 | 5H | 27 | 10.00-11.30 | SS09: Artificial intelligence (AI)-driven last-mile logistics | Chen, Minghao; Smyth, Andrew; Giometto, Marco; Li, Max | Drone Delivery Routing with Stochastic Urban Wind |
1010 | SS09 | 5H | 27 | 10.00-11.30 | SS09: Artificial intelligence (AI)-driven last-mile logistics | Bienzeisler, Lasse; Friedrich, Bernhard | Transforming Last-Mile Logistics: A Simulation-Based Analysis of Collection Point Delivery Strategie |
1040 | SS10 | 5B | 28 | 10.00-11.00 | SS10: Emerging methods for modeling and managing transportation systems in the flexible work era | wang, feilong*; Ban, Xuegang (Jeff) | Are Big Mobility Data Reliable for Assessing the Performance of Transit Systems During COVID-19? |
15 | SS10 | 5B | 28 | 10.00-11.00 | SS10: Emerging methods for modeling and managing transportation systems in the flexible work era | Ioanna, Arkoudi; Hemmati Golsefidi, Atefeh; Torres Lahoz, Lorena; Pereira, Francisco | PREDICTING TRIP ACTIVITIES AND MODES USING LSTMS AND GEOSPATIAL REPRESENTATIONS |
1385 | SS10 | 5B | 28 | 10.00-11.00 | SS10: Emerging methods for modeling and managing transportation systems in the flexible work era | Han, Longfei; Kefferpütz, Klaus; Elger, Gordon; Beyerer, Jürgen | FlexSense: Flexible Infrastructure Sensors for Traffic Perception |
470 | SS10 | 5B | 28 | 10.00-11.00 | SS10: Emerging methods for modeling and managing transportation systems in the flexible work era | Saleh, Khaled; Mihaita, Adriana-Simona; OU, Yuming | Metro Ridership Forecasting using Inter-Station-Aware Transformer Networks |
890 | SS11 | 5B | 27 | 10.00-11.30 | SS11: Advances in Urban Traffic Control: Theory and Practice | Müller, Arthur*; Sabatelli, Matthia | Bridging the Reality Gap of Reinforcement Learning based Traffic Signal Control using Domain Randomization and Meta Learning |
1654 | SS11 | 5B | 27 | 10.00-11.30 | SS11: Advances in Urban Traffic Control: Theory and Practice | Fu, Yongjie; Di, Xuan* | Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City |
102 | SS11 | 5B | 27 | 10.00-11.30 | SS11: Advances in Urban Traffic Control: Theory and Practice | Genevois, Thomas; Rummelhard, Lukas; Spalanzani, Anne; Laugier, Christian | From Probabilistic Occupancy Grids to versatile Collision Avoidance using Predictive Collision Detection |
350 | SS11 | 5B | 27 | 10.00-11.30 | SS11: Advances in Urban Traffic Control: Theory and Practice | Kim, Hyunsoo; JIN, ZHIXIONG; Tak, Hye-young; Yu, Hwapyeong; Yeo, Hwasoo | Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning |
1065 | SS11 | 5B | 27 | 10.00-11.30 | SS11: Advances in Urban Traffic Control: Theory and Practice | Qiao, Siyao; WU, Jia; Ren, Yanyu; Yi, Chenglin; Ran, Yunchuan | Centralized Traffic Signal Control for Massive-Scale Heterogeneous Traffic Network via Deep Reinforcement Learning |
1150 | SS11 | 5B | 27 | 10.00-11.30 | SS11: Advances in Urban Traffic Control: Theory and Practice | Yang, Huan; Zhao, Han; Liu, Guoqiang; WANG, YU; Wang, Danwei; Zhang, Jun; WEN, MINGXING; Peng, Guohao | GA-Critic: A Traffic Signal Control Strategy Under Incident Conditions for Urban Networks |
869 | SS12 | 5G | 26 | 10.00-11.00 | SS12: Global Advances and Future of Testbeds on Automated Connected & Electrical (ACE) Vehicles | Yang, Mingyuan; Lapardhaja, Servet; Kan, David* | MICROSIMACC: AN OPEN DATABASE FOR FIELD EXPERIMENTS ON THE POTENTIAL CAPACITY IMPACT OF COMMERCIAL ADAPTIVE CRUISE CONTROL (ACC) |
1261 | SS12 | 5G | 26 | 10.00-11.00 | SS12: Global Advances and Future of Testbeds on Automated Connected & Electrical (ACE) Vehicles | Jang, Hyeokjun; Kim, Inhi; Park, Shin Hyoung; Jang, Kitae* | Analyzing the Impact of Autonomous Vehicles on Urban Traffic Flow at the Large Scale Network Using Real-World Data |
1435 | SS12 | 5G | 26 | 10.00-11.00 | SS12: Global Advances and Future of Testbeds on Automated Connected & Electrical (ACE) Vehicles | Zare, Arian; Shang, Mingfeng; Kan, David; Stern, Raphael* | Modeling car-following behavior of electric adaptive cruise control vehicles using experimental testbed data |
1561 | SS12 | 5G | 26 | 10.00-11.00 | SS12: Global Advances and Future of Testbeds on Automated Connected & Electrical (ACE) Vehicles | Ma, Chengyuan; Li, Xiaopeng*; Ma, Ke; Zhang, Peng; Long, Keke; Chen, Sikai | Trajectory-based Performance Ranking System of Low-level Automated Vehicles |
933 | SS13 | 0C | 26 | 10.00-11.00 | SS13: Enabling the Future of Air Traffic Management: A Perspective from AI technology and Advanced Control and Optimization | Zhang, Yi*; Zhang, Yicheng; Zhang, Sheng; Huang, Liping; Yin, Yifang | Joint arrival-departure taxiway scheduling considering departure uncertainty |
951 | SS13 | 0C | 26 | 10.00-11.00 | SS13: Enabling the Future of Air Traffic Management: A Perspective from AI technology and Advanced Control and Optimization | Yin, Yifang*; Zhang, Sheng; Zhang, Yicheng; Zhang, Yi; Xiang, Shili | Context-aware Aircraft Trajectory Prediction with Diffusion Models |
958 | SS13 | 0C | 26 | 10.00-11.00 | SS13: Enabling the Future of Air Traffic Management: A Perspective from AI technology and Advanced Control and Optimization | Zhou, Wei*; Pham, Duc-Thinh; Alam, Sameer | AirFusion: A Machine Learning Framework for Balancing Air Traffic Demand and Airspace Capacity through Dynamic Airspace Sectorization |
1541 | SS13 | 0C | 26 | 10.00-11.00 | SS13: Enabling the Future of Air Traffic Management: A Perspective from AI technology and Advanced Control and Optimization | Guleria, Yash*; Pham, Duc-Thinh; Alam, Sameer | An Agent-Based Approach for Air Traffic Conflict Resolution in a Flow-Centric Airspace |
257 | SS14 | 5B | 26 | 10.00-11.00 | SS14: Actionable and Trustworthy AI for Intelligent Transportation Systems | Vallati, Mauro*; Chrpa, Lukas | In Defence of Good Old-Fashioned Artificial Intelligence Approaches in Intelligent Transportation Systems |
385 | SS14 | 5B | 26 | 10.00-11.00 | SS14: Actionable and Trustworthy AI for Intelligent Transportation Systems | Agarwal, Himanshu*; Brunner, Christian; Latka, Tobias Thomas; Rudolph, Stefan | A Causal Model for Physics-Conform Vehicle Trajectories |
498 | SS14 | 5B | 26 | 10.00-11.00 | SS14: Actionable and Trustworthy AI for Intelligent Transportation Systems | Fafoutellis, Panagiotis*; Laña, Ibai; Del Ser, Javier; Vlahogianni, Eleni I. | A Causal Deep Learning Framework for Traffic Forecasting |
1564 | SS14 | 5B | 26 | 10.00-11.00 | SS14: Actionable and Trustworthy AI for Intelligent Transportation Systems | Samadi, Amir*; Shirian, Amir; Koufos, Konstantinos; Debattista, Kurt; Dianati, Mehrdad | SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems |
163 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Samii, Amirhossein*; Bekiaris-Liberis, Nikolaos | Robustness of String Stability of Linear Predictor-Feedback CACC to Communication Delay |
235 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Petrillo, Alberto*; Caiazzo, Bianca; Mungiello, Aniello; Lui, Dario Giuseppe; Santini, Stefania | On the resilience of Autonomous Connected Vehicles Platoon Under DoS Attacks: a predictor-based sampled data control |
646 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Li, Sixu; Zhou, Yang*; Ye, Xinyue; Jiang, Jiwan; Wang, Meng | Sequencing-enabled Hierarchical Cooperative On-ramp Merging Control for Connected and Automated Vehicles |
673 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Oh, Sanghoon*; Chen, Qi; Tseng, Eric; Pandey, Gaurav; Orosz, Gabor | Dynamically Safe Signalized Intersection Control in Mixed Traffic Environment of Connected Vehicles |
799 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Petrillo, Alberto*; Caiazzo, Bianca; Lui, Dario Giuseppe; Di Rosa, Fabrizio; Santini, Stefania | Distributed Resilient Control for autonomous connected vehicles platoon over uncertain V2X communication links |
866 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Li, Zhexian*; Savla, Ketan | Output-feedback model predictive control for ramp metering |
1003 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Marchetta, Andrea*; Coppola, Angelo; Cinque, Marcello; Fiorentino, Mario; Bifulco, Gennaro Nicola | An Eclipse MOSAIC-based Hardware-in-Loop V2X Co-Simulation Framework for CCAM services |
1343 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Vitale, Francesco*; Roncoli, Claudio | Cooperative rerouting to redistribute the load of Connected and Automated Vehicles in urban networks |
1512 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Pappaterra, Mauro José*; Flammini, Francesco | A review of intelligent infrastructure surveillance to support safe autonomy in smart-railways |
1597 | SS15 | 0C | 25 | 14.00-16.30 | SS15: Traffic Control and Connected Autonomous Vehicles: benefits for efficiency, safety and beyond | Rostomyan, Gary*; Savla, Ketan; Ioannou, Petros | Decreasing Delay at Signal Free Intersection Through High Order Reference Trajectories |
71 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Ji, Yangjie; Ziru, Yang; Zhou, Zewei; Huang, Yanjun*; Cao, Jianyong; Lu, Xiong; YU, Zhuoping | Optimization of Roadside Sensors Placement for Cooperative Vehicle-Infrastructure System |
346 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Zheng, Shaowu; Xie, Chong; Huang, Ruyi; Yu, Shanhu; Ye, Ming; Li, Weihua* | V2X-Based Cooperative Positioning for Connected Vehicles in GNSS-Denied Environments |
641 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Yue, Ximin; Li, Zihao; Zhou, Yang*; Zhang, Yunlong | Markov-based Analytical Approximation for Mixed Traffic Delay for Signalized Intersections |
674 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Liu, Meiqi; Jin, Kairan; Hao, Ruochen* | Distributed Model Predictive Control Considering Delay-Compensating Strategy for Urban Vehicle Platooning in A Mixed Autonomy Traffic |
708 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Maksimovski, Daniel*; Facchi, Christian | Decentralized V2X Maneuver Sharing and Coordination Message for Cooperative Driving: Analysis in Mixed Traffic |
1123 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | LUO, SHUYUAN; Hu, Jia; Lai, Jintao* | Enhanced Infrastructure-Enabled-Perception System Based on Roadside LiDAR |
1591 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Li, Shuai; Zheng, Haotian; Wang, Jiawei*; Chen, Chaoyi; Xu, Qing; Wang, Jianqiang; Li, Keqiang | Information Flow Topology in Mixed Traffic: A Comparative Study between Looking Ahead and Looking Behind |
1608 | SS16 | 0D | 25 | 11.00-13.00 | SS16: Cooperative Driving in Mixed Traffic | Liu, Hui*; Chang, Yuanxing; Wang, Zhu; Chen, Chao; Chen, Yaxing; Guo, Bin; Yu, Zhiwen | Enabling Accurate Trajectory Prediction of Human Driven Vehicles in the Hybrid Driving Scenario |
140 | SS17 | 3B | 28 | 10.00-11.00 | SS17: Mobility-as-a-Service: managing cyber security risks for a seamless smart connectivity | Chu, Kai Fung*; Guo, Weisi | Federated Reinforcement Learning for Consumers Privacy Protection in Mobility-as-a-Service |
191 | SS17 | 3B | 28 | 10.00-11.00 | SS17: Mobility-as-a-Service: managing cyber security risks for a seamless smart connectivity | Chu, Kai Fung*; Guo, Weisi | Passenger Spoofing Attack for Artificial Intelligence-based Mobility-as-a-Service |
1375 | SS17 | 3B | 28 | 10.00-11.00 | SS17: Mobility-as-a-Service: managing cyber security risks for a seamless smart connectivity | Heering, Maria*; YUAN, HAIYUE; Li, Shujun | The Impact of Privacy and Security Attitudes and Concerns of Travellers on Their Willingness to Use Mobility-as-a-Service Systems |
1580 | SS17 | 3B | 28 | 10.00-11.00 | SS17: Mobility-as-a-Service: managing cyber security risks for a seamless smart connectivity | Dwyer, Benjamin; Sarma, Sanjay E.; Suo, Dajiang* | Enabling Secure Vehicle to Infrastructure Communication via Two-Factor Authentication |
70 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Tang, Xinyue; Yuan, Kang; Li, Shangwen; Yang, Shuo; Zhou, Zewei; Huang, Yanjun* | Personalized Decision-making and Control for Automated Vehicles based on Generative Adversarial Imitation Learning |
79 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Huang, Zhiyu; Liu, Haochen; Wu, Jingda; Huang, Wenhui; Lv, Chen* | Learning Interaction-Aware Motion Prediction Model for Decision-Making in Autonomous Driving |
171 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Liu, Haochen; Huang, Zhiyu; Lv, Chen* | Occupancy Prediction-Guided Neural Planner for Autonomous Driving |
202 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Du, Jiatong; Luo, Erpai; bai, yulong; Huang, Yanjun* | Enhanced Social Trajectory Prediction Transformer for L3 Highway Pilots |
217 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Zhu, Jieyu; Zhang, Yiran; Ma, Yanli*; Lv, Chen; zhang, yaping | Designing Human-machine collaboration Interface through Multimodal Combination Optimization to Improve Takeover Performance in Highly Automated Driving |
347 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Ma, Yunsheng; Ye, Wenqian; Cao, Xu; Abdelraouf, Amr*; Han, Kyungtae; Gupta, Rohit; Wang, Ziran | CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers |
474 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Lin, Yunlong; Li, Zirui; Gong, Cheng; Liu, Qi; Lu, Chao; Gong, Jianwei* | Rethinking Trajectory Prediction in Real-World Applications: An Online Task-Free Continual Learning Perspective |
490 | SS18 | 0B | 25 | 11.00-13.00 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Peng, Zengqi; Zhou, Xiao; Wang, Yubin; Zheng, Lei; Liu, Ming; Ma, Jun* | Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections |
497 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Gong, Cheng; Runqi, Qiu; Lin, Yunlong; Li, Zirui; Gong, Jianwei*; Lu, Chao | A Learning-Based Controller for Trajectory Tracking of Autonomous Vehicles in Complex and Uncertain Scenarios |
598 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Zhang, Chengyuan; Chen, Rui; Zhu, Jiacheng; Wang, Wenshuo; Liu, Changliu; Sun, Lijun* | Interactive Car-Following: Matters but NOT Always |
669 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Liu, Jiaqi; Hang, Peng*; Qi, Xiao; Wang, Jianqiang; Sun, Jian | MTD-GPT: A Multi-Task Decision-Making GPT Model for Autonomous Driving at Unsignalized Intersections |
786 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Liao, Yaping; Yu, Guizhen; Chen, Peng*; zhou, bin; Li, Han | Lateral Motion Control for Obstacle Avoidance in Autonomous Driving Based on Deep Reinforcement Learning |
1063 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Mu, Yao; Lan, Zhiqian; Chen, Chen; Liu, Chang; Luo, Ping; Li, Shengbo Eben* | Neural MPC-based Decision-making Framework for Autonomous Driving in Multi-lane Roundabout |
1096 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Xu, Jiahui; Shao, Wenbo; Xu, Yanchao; WANG, WEIDA; Li, Jun; Wang, Hong* | A Risk Probability Predictor for Effective Downstream Planning Tasks |
1106 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Westerhout, Frederik*; Schumann, Julian Frederik; Zgonnikov, Arkady | Smooth-Trajectron++: Augmenting the Trajectron++ behaviour prediction model with smooth attention |
1548 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Mozaffari, Sajjad*; Alipour Sormoli, Mohammadreza; Koufos, Konstantinos; Lee, Graham; Dianati, Mehrdad | Trajectory Prediction with Observations of Variable-Length for Motion Planning in Highway Merging Scenarios |
1653 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | Wang, Qingfan; Qin, Detong; Kuang, Gaoyuan; Li, Ruiyang; Nie, Bingbing* | A Prediction-Uncertainty-Aware Safety Decision-Making Algorithm towards Injury Risk Minimization under Safety-Critical Scenarios |
1705 | SS18 | 0B | 25 | 14.00-16.30 | SS18: Learning-powered Prediction and Decision-making for Autonomous Driving | L. Manibardo, Eric; Laña, Ibai; Del Ser, Javier | Multi-step Ahead Visual Trajectory Prediction for Object Tracking using Echo State Networks |
190 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Jo, Ara; Kim, Sangyoon; Lee, Heeseong; Yi, Kyongsu* | Ride Comfort-enhanced Optimal Decision and Planning Strategy at Urban Signalized Intersections based on Hybrid Model Predictive Control |
348 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Park, Kihee*; Park, Yeong-Hun; Lee, Chang Won | Human Care Assist System for Mitigating Motion Sickness based on Enhancement of Situational Awareness in Autonomous Driving |
446 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Jalgaonkar, Nishant*; Sousa Schulman, Daniel; Kim, Adam; Chen, Jiaxi; Awtar, Shorya | Preemptive Haptic Stimuli to mitigate car sickness and its influence on task performance: A Pilot Study |
514 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Tamura, Yujiro; Wada, Takahiro*; Liu, HaiLong | Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory |
858 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Diels, Cyriel*; Dugenetet, Pierre; Brietzke, Adrian; Pham Xuan, Rebecca | Design strategies to alleviate motion sickness in rear seat passengers a test track study* |
981 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Desai, Raj*; Cvetkovic, Marko; Papaioannou, Georgios; Happee, R | Evaluation of motion comfort using advanced active human body models and efficient simplified models |
1455 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Tang, Binbin; Yu, Tingzhe; Chen, Linhui; Zhang, Jiajie; Xu, Biao; Li, Daofei* | Personalized Trajectory Planning Algorithm Considering Passenger Motion Sickness Level |
1610 | SS19 | 5A | 27 | 10.00-12.00 | SS19: Motion Comfort in Automated Driving | Zhang, Jiajie; Xiao, Bin; Tang, Binbin; Jiang, Yangye; Yu, Tingzhe; Li, Daofei* | Safe and Comfortable Motion Planning for Bumpy Road Driving |
978 | SS21 | 0C | 26 | 15.00-16.30 | SS21: Integration of UAS in the future smart city for mobility | Espadaler-Clapés, Jasso; Fonod, Robert; Barmpounakis, Emmanouil; Geroliminis, Nikolas* | Continuous Monitoring of a Signalized Intersection Using Unmanned Aerial Vehicles |
1238 | SS21 | 0C | 26 | 15.00-16.30 | SS21: Integration of UAS in the future smart city for mobility | Dai, Wei*; Deng, Chao | Urban Performance-Based Navigation (uPBN): Addressing the CNS Variation Problem in the Urban Airspace in the Context of UAS Traffic Management |
487 | SS21 | 0C | 26 | 15.00-16.30 | SS21: Integration of UAS in the future smart city for mobility | RATHOUR, SWARN SINGH; ITO, TAKAHIRO; Machii, Kimiyoshi; BANDO, MIKIO; TAKU, SHIMIZU | ORB Keypoint Based Flying Object Region Proposal for Safe & Reliable Urban Air Traffic Management |
664 | SS21 | 0C | 26 | 15.00-16.30 | SS21: Integration of UAS in the future smart city for mobility | Pooladsanj, Milad; Savla, Ketan | VertiSync: A Traffic Management Policy with Maximum Throughput for On-Demand Urban Air Mobility Networks |
670 | SS21 | 0C | 26 | 15.00-16.30 | SS21: Integration of UAS in the future smart city for mobility | Saxena, Ravi Raj; Joshi, Tejas; DK, Yashashav; Venkata, Prabhakar; Kuri, Joy | Integrated taxiing and TLOF pad scheduling using different surface directions with fairness analysis |
884 | SS21 | 0C | 26 | 15.00-16.30 | SS21: Integration of UAS in the future smart city for mobility | Mohamed, Mohamed Arif; Dang, Huu Phuoc; Alam, Sameer | A Supervised Learning Approach for 4D Air Traffic Conflict Prediction under Trajectory Uncertainty |
200 | SS22 | 5H | 26 | 15.00-16.30 | SS22: Simulation Verification of Autonomous Driving Technologies | Puig Walz, Teo*; Mopuru, Sunil Kumar Reddy; Vogelbacher, Georg; Richter, Alexander; Hoeflinger, Fabian; Häring, Ivo; Finger, Jörg; Stolz, Alexander | Markov Modelling for Autonomous Vehicle Safety Assessment: Numerical Modularization to Avoid System State-Explosion |
341 | SS22 | 5H | 26 | 15.00-16.30 | SS22: Simulation Verification of Autonomous Driving Technologies | Lin, Yuanfei*; Ratzel, Michael; Althoff, Matthias | Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad |
760 | SS22 | 5H | 26 | 15.00-16.30 | SS22: Simulation Verification of Autonomous Driving Technologies | Scott, Hamish*; Niccolini, Lorenzo; Stetson, Chess; Goldbeck, Nils; Souflas, Ioannis; Songur, Noyan; Ahrabian, Alireza; Candela, Eduardo; Angeloudis, Panagiotis | Scenario Gym: a scenario-centric lightweight simulator |
1302 | SS22 | 5H | 26 | 15.00-16.30 | SS22: Simulation Verification of Autonomous Driving Technologies | Parada, Leandro*; Tian, Hanlin; Escribano Macias, Jose Javier; Angeloudis, Panagiotis | An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios |
1553 | SS22 | 5H | 26 | 15.00-16.30 | SS22: Simulation Verification of Autonomous Driving Technologies | Xu, Wei*; Gruyer, Dominique; Ieng, Sio-Song | Generic Simulation Framework for Evaluation Process: Applied to AI-powered Visual Perception System in Autonomous Driving |
678 | SS22 | 5H | 26 | 15.00-16.30 | SS22: Simulation Verification of Autonomous Driving Technologies | Rajesh, Nishant; van Hassel, Edwin; alirezaei, Mohsen | Unknown-Unsafe Scenario Generation for Verification and Validation of Automated Vehicles |
1043 | SS23 | 3B | 27 | 10.00-11.30 | SS23: AI empowered technology for Vulnerable Road Users | Park, Hyoshin*; Darko, Justice; Yoon, Gyugeun; Sundaram, Indramuthu | Trip Planner MODE (Multimodal Optimal Dynamic pErsonalized) |
1199 | SS23 | 3B | 27 | 10.00-11.30 | SS23: AI empowered technology for Vulnerable Road Users | Ren, Xiyuan; Chow, Joseph* | Choice-based service region assortment problem: equitable design with statewide synthetic data |
247 | SS23 | 3B | 27 | 10.00-11.30 | SS23: AI empowered technology for Vulnerable Road Users | Holzbock, Adrian; Tsaregorodtsev, Alexander; Belagiannis, Vasileios | Pedestrian Environment Model for Automated Driving |
396 | SS23 | 3B | 27 | 10.00-11.30 | SS23: AI empowered technology for Vulnerable Road Users | Denk, Florian; Himmels, Chantal; Andreev, Vladislav; Lindner, Johannes; Syed, Arslan Ali; Riener, Andreas; Huber, Werner; Kates, Ronald | Studying interactions of motorists and vulnerable road users: Empirical comparison of test track and simulator experiments |
1152 | SS23 | 3B | 27 | 10.00-11.30 | SS23: AI empowered technology for Vulnerable Road Users | Raeck, Dominik; Pech, Timo; Moessner, Klaus | Influence of Prior Knowledge on Cyclists Trajectory Forecast |
964 | SS25 | 5G | 28 | 10.00-11.00 | SS25: Leveraging Data in Connected, Cooperative and Automated Mobility (CCAM) enabled by Edge and Cloud | Mogollón, Felipe*; Fernandez, Zaloa; Perez, Josu; Martin, Angel | Benchmarking 5G MEC and Cloud infrastructures for planning IoT messaging of CCAM data |
207 | SS25 | 5G | 28 | 10.00-11.00 | SS25: Leveraging Data in Connected, Cooperative and Automated Mobility (CCAM) enabled by Edge and Cloud | Mehrke, Jannik; Volk, Georg; Stumpp, Yannik; Bringmann, Oliver; Terzis, Anestis | Impacts of Image Compression on the Detection Quality of a Novel Real-Time Image Processing Platform |
538 | SS25 | 5G | 28 | 10.00-11.00 | SS25: Leveraging Data in Connected, Cooperative and Automated Mobility (CCAM) enabled by Edge and Cloud | Shah, Syed Najaf Haider; Sacristán, David Martín; Ravelo, Carlos; Smeenk, Carsten; Schneider, Christian; Robert, Joerg | Radar-Enabled Resource Allocation in 5G-V2X Sidelink Communication |
511 | SS25 | 5G | 28 | 10.00-11.00 | SS25: Leveraging Data in Connected, Cooperative and Automated Mobility (CCAM) enabled by Edge and Cloud | García, Mikel; Velez, Gorka; Perez, Josu; Martin, Angel; Fernandez, Zaloa; Aginako Bengoa, Naiara | Edge Dynamic Map architecture for C-ITS applications |
540 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Hasan, Aamir*; Chakraborty, Neeloy; Chen, Haonan; Cho, Jung-Hoon; Wu, Cathy; Driggs-Campbell, Katherine | PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems |
730 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Sharma, Shravani*; Woodman, Roger; Elliott, Mark | Exploring the Impact of Autonomous Taxis on People with Disabilities |
979 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Bonilla Viana, Lander*; Lopez de Armentia, Juan; Zarate, Gorka; Torre Bastida, Ana Isabel; Viso LUIS, Viso; Bidaguren, Peru; Alonso, Olga; Capelastegui, Abel | CCIR: An architecture for collecting and storing Connected Corridor Infrastructure and Mobility Data |
1089 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Paparella, Fabio*; Hofman, Theo; Salazar, Mauro | Cost-optimal Fleet Management Strategies for Solar-electric Autonomous Mobility-on-Demand Systems |
1132 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Zardini, Gioele*; Lanzetti, Nicolas; Belgioioso, Giuseppe; Hartnik, Christian; Bolognani, Saverio; Dörfler, Florian; Frazzoli, Emilio | Strategic Interactions in Multi-modal Mobility Systems: A Game-Theoretic Perspective |
1155 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Liu, Yubin*; Zhang, Keyang; Escribano Macias, Jose Javier; Angeloudis, Panagiotis | Quantifying the Capability of Autonomous Robot-Assisted Distribution in Last-Mile: Insight from Rural to Urban Configurations |
1161 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Matsui, Kenta*; Escribano Macias, Jose Javier; Angeloudis, Panagiotis | Real-time Dispatching for Autonomous Vehicles in Open-pit Mining Deployments using Deep Reinforcement Learning |
1184 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Wolf, Fynn; Engelhardt, Roman*; Zhang, Yunfei; Dandl, Florian; Bogenberger, Klaus | Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services |
1656 | SS26 | 0D | 28 | 10.00-12.30 | SS26: Co-Design and Coordination of Future Mobility Systems | Zhou, Jingyuan; Yan, Longhao; Yang, Kaidi* | Safe Reinforcement Learning for Mixed-Autonomy Platoon Control |
1224 | POSTER | HALL | 26 | 15.00-16.30 | Poster session 2 | Mehrotra, Shashank; Zahedi, Zahra; Misu, Teruhisa; Akash, Kumar | Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions |
95 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Tan, Lei*; Chen, Xiaohan; Hu, Xiaoxi; TANG, Tao | DMDSNet: A Computer Vision-Based Dual Multi-Task Model for Tunnel Bolt Detection and Corrosion Segmentation |
117 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Hu, Xiaoxi*; Zhang, Xiaohan; Wang, Zhaorong; Chen, Yunbo; Xia, Jiangnan; Du, Yawen; Li, Yi | Railway Switch Machine Fault Diagnosis Considering Sensor Abnormality Scenarios |
362 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Coviello, Nicola; Medeossi, Giorgio; Nygreen, Thomas; Pellegrini, Paola*; Rodriguez, Joaquin | Integrated Ant Colony Optimization and Mixed Integer Linear Programming for Multi-objective Railway Timetabling |
434 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Luo, Xiaolin; Gao, JingTong; Zhang, Yang; Han, Xiao; Liu, Hongjie* | A Feedforward PID Control Approach for Reference Tracking of Virtually Coupled Train Set |
1030 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Daman, Alexander; Liu, Xiaoyu*; De Schutter, Bart; Dabiri, Azita | Benders decomposition-based real-time optimization of train departure frequencies in metro networks |
1194 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Lu, Jiahao; Lu, Debiao*; Cai, Baigen; Chen, Bin; Pannek, Jürgen; Huang, Susu | Train Trajectory Optimization based on Quadratic Programming for Virtual Coupling Concepts |
1284 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Shi, Yi; Bu, Bing; Li, Qichang* | An Optimized Resource Allocation Method Based on Deep Reinforcement Learning for the Ad Hoc Network of Urban Rail Transit |
1314 | SS27 | 3B | 26 | 10.00-12.00 | SS27:Control, Communication and Emerging Technologies in Smart Rail Systems | Liao, Yanli; Liu, Hongjie*; Luo, Xiaolin; Lang, Yinghui | A Hierarchical Control Approach for Inter-station Operation of Virtually Coupled Train Set |
262 | SS28 | 0E | 26 | 10.00-11.30 | SS28:Deep Neural Networks for Traffic Forecasting | Rodrigues, Filipe* | On the importance of stationarity, strong baselines and benchmarks in transport prediction problems |
1121 | SS28 | 0E | 26 | 10.00-11.30 | SS28:Deep Neural Networks for Traffic Forecasting | Rochas, Romain*; Furno, Angelo; El Faouzi, Nour-Eddin | Contextual Data Integration for Bike-sharing Demand Prediction with Graph Neural Networks in Degraded Weather Conditions |
245 | SS28 | 0E | 26 | 10.00-11.30 | SS28:Deep Neural Networks for Traffic Forecasting | Yang, Ying; Du, kai; Dai, Xingyuan; Fang, Jianwu | Counterfactual Graph Transformer for Traffic Flow Prediction |
414 | SS28 | 0E | 26 | 10.00-11.30 | SS28:Deep Neural Networks for Traffic Forecasting | Li, Xiyao | BRT Conditional Signal Priority for Actuated-Coordinated Intersections |
1691 | SS28 | 0E | 26 | 10.00-11.30 | SS28:Deep Neural Networks for Traffic Forecasting | Zhu, Taomei; Lopez Boada, María Jesús; Lopez Boada, Beatriz | Distributed Points Data Driven LSTM Neural Networks for Daily Traffic Forecasting |
1696 | SS28 | 0E | 26 | 10.00-11.30 | SS28:Deep Neural Networks for Traffic Forecasting | Ham, Seung Woo; Kim, Dong-Kyu | Rethinking Traffic Speed Prediction with Traffic Flow-Aware Graph Attention Networks |
444 | SS29 | 5A | 28 | 8.00-9.30 | SS29: Decision Recommendation and Decision Intelligence for ITS | Cardellini, Matteo; Dodaro, Carmine; Maratea, Marco; Vallati, Mauro* | A Framework for Risk-Aware Routing of Connected Vehicles via Artificial Intelligence |
946 | SS29 | 5A | 28 | 8.00-9.30 | SS29: Decision Recommendation and Decision Intelligence for ITS | liang, xiaolong; Li, Juanjuan; Qin, Rui; Wang, Fei-Yue* | TAO-Based Data Governance in Intelligent Transportation Systems |
1056 | SS29 | 5A | 28 | 8.00-9.30 | SS29: Decision Recommendation and Decision Intelligence for ITS | Yu, Jingru; Yu, Yi; Yao, Shengyue; Wang, Ding; Cai, Pinlong; Li, Honghai; Li, Li; Wang, Fei-Yue; Lin, Yilun* | RoW-based Parallel Control for Mix Traffic Scenario: A case study on Lane-Changing |
1233 | SS29 | 5A | 28 | 8.00-9.30 | SS29: Decision Recommendation and Decision Intelligence for ITS | Zhao, Chen; Dai, Xingyuan; Chen, Yuanyuan; Lin, Yilun; Lv, Yisheng; Wang, Fei-Yue* | Parallel Learning Based Foundation Model for Networked Traffic Signal Control |
1546 | SS29 | 5A | 28 | 8.00-9.30 | SS29: Decision Recommendation and Decision Intelligence for ITS | Ji, Qingyuan; Zhu, Yongdong; Wen, Xiaoyue; Zhang, Qi; Qin, Yuanqi; Jin, Junchen* | Hi-Lane: Hierarchical Decision Support Framework for Traffic Signal Control with Dynamic Lanes |
1647 | SS29 | 5A | 28 | 8.00-9.30 | SS29: Decision Recommendation and Decision Intelligence for ITS | Liu, Xuan; Zhou, Min*; Ligang, Tan; Dong, Hairong | DDPG-based Energy-Efficient Train Speed Trajectory Optimization under Virtual Coupling |
631 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Rennie, Fraser; Williams, David; Newman, Paul; De Martini, Daniele* | Doppler-aware Odometry from FMCW Scanning Radar |
927 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Zhang, Yunqing; liu, kunhua; Zhang, Xiaotong; Lv, Yisheng; He, Wei; Chen, Long* | Point Cloud Completion by Larger Receptive Fields for Intelligent Vehicles |
937 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Xiang, Chao; Xie, Xiaopo*; Feng, Chen; bai, zhen; Niu, Zhendong; Yang, Mingchuan | V2I-BEVF: Multi-modal Fusion Based on BEV Representation for Vehicle-to-Infrastructure Perception |
943 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | zhu, fenghua*; Tian, Bin; Ye, Peijun; Xiong, Gang | Compression Using Feature Score and Refinement for Deep Neural Networks |
1049 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Li, Mian; Xiong, Gang; Ye, Peijun; Guangmin, Liu; zhu, fenghua* | Shallow Feature Enhanced Regression Model for UAV Traffic Object Detection |
1119 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Huang, Chongqing; Song, Ruiqi; Cui, Chenglin; Li, Xinqing; Ai, Yunfeng* | Point Cloud Segmentation for Unstructured Region in Surface Mine |
1124 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Cui, Chenglin; Song, Ruiqi; Li, Xinqing; Ai, Yunfeng* | BEVMOT: A multi-object detection and tracking method in Birds-Eye-View via Spatiotemporal Transformers |
1235 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Li, Xi; Chen, Yuanyuan; Lv, Yisheng* | MSIT-Det: Multi-Scale Feature Aggregation with Iterative Transformer Networks for 3D Object Detection |
1592 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Lu, Bo; Miao, Qinghai; Dai, Xingyuan; Lv, Yisheng* | VCrash: A Closed-Loop Traffic Crash Augmentation with Pose Controllable Pedestrian |
1607 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Liu, Yahui; Dai, Xingyuan; Fang, Jianwu; Lv, Yisheng* | Interaction-Aware Trajectory Prediction with Point Transformer |
1632 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Nie, Yunhao; Chen, Yuanyuan; Miao, Qinghai*; Lv, Yisheng | Data Augmentation for Pedestrians in Corner Case: A Pose Distribution Control Approach |
223 | SS30 | 0D | 27 | 10.00-13.00 | SS30: Intelligent Sensing for ITS | Zhang, Zixuan; Cao, Yuan; Su, Shuai; Wang, Di | An MPC-based cooperative control approach for separated power electric multiple units |
1648 | SS31 | 0D | 26 | 17.00-18.00 | SS31:Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Spaces | chen, hongrui; zhang, yan; Dai, Xingyuan; sun, jiaming; cong, fei; lu, yanan; xu, bingji; Lv, Yisheng* | Accelerating Realistic Multi-Route Traffic Flow Generation Based on Improved Simulated Annealing Algorithm |
1069 | SS31 | 0D | 26 | 17.00-18.00 | SS31:Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Spaces | Grimm, Daniel; Zipfl, Maximilian; Hertlein, Felix; Naumann, Alexander; Luettin, Juergen; Thoma, Steffen; Schmid, Stefan; Halilaj, Lavdim; Rettinger, Achim; Zöllner, J. Marius | Heterogeneous Graph-based Trajectory Prediction using local Map Context and a Social Interaction Graph |
1487 | SS31 | 0D | 26 | 17.00-18.00 | SS31:Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Spaces | Gutiérrez-Moreno, Rodrigo; Gómez-Huélamo, Carlos; Barea, Rafael; López-Guillén, Elena; Arango, Felipe; Bergasa, Luis M. | Augmented Reinforcement Learning with Efficient Social-based Motion Prediction for Autonomous Decision-Making |
1500 | SS31 | 0D | 26 | 17.00-18.00 | SS31:Social Transportation: Towards Smart Mobility in Cyber-Physical-Social Spaces | Park, Sohhyung; Yoon, Byeolyi; Cho, Sungzoon; Yun, Myung Hwan; Chung, Chul; Kim, Choongrae; Lee, Seokjun; Kim, Seungman | A Product and Service Design Framework for Autonomous Vehicle: Identifying and Systematizing User Needs via Graph-Based Social Media Analysis and Activity Theory |
734 | DMDA04 | 5H | 28 | 8.00-9.30 | Data mining and Data Analysis | Branko Miloradovic, Eneko Osaba, Javier Del Ser, Vuk Vujovic, Alessandro Vittorio Papadopoulos | On the Design and Performance of a Novel Metaheuristic Solver for the Extended Colored Traveling Salesman Problem |
258 | CYB02 | 1B | 27 | 17:00-18:00 | Cybersecurity | Guo, Rongge; Nikitas, Alexandros; Parkinson, Simon; Vallati, Mauro | One Bus Is All It Takes: The Impact of Cyber Attacks in Customised Bus Services |
769 | CYB02 | 1B | 27 | 17:00-18:00 | Cybersecurity | Kisa Isik, Gizay; Tryfonas, Theo; Oikonomou, George | E-scooter Sharing Platforms: Understanding Their Architecture and Cybersecurity Threats |
955 | SP10 | 0D | 26 | 15:00-16:30 | Sensing And Perception | Sheikh, Javad; Farahnakian, Fahimeh; Farahnakian, Farshad; Heikkonen, Jukka | Sea Ice Concentration Estimation Via Fusion of Sentinel-1 and AMSR2 based on Encoder-Decoder Architecture |
1072 | UM01 | 1B | 25 | 17:00-18:00 | Urban Mobility | Guo, Jiaying; Ghanadbashi, Saeedeh; Wang, Shen; Golpayegani, Fatemeh | Urban Traffic Signal Control using Edge-based Ontology DRL |
1434 | UM01 | 1B | 25 | 17:00-18:00 | Urban Mobility | Safavifar, Zahra; Mechalikh, Charafeddine; Xie, Junfei; Golpayegani, Fatemeh | Enhancing VRUs Safety through Mobility-Aware WorkloadOrchestration with Trajectory Prediction using Reinforcement Learning |
855 | UM01 | 1B | 25 | 17:00-18:00 | Urban Mobility | Niloufar Dabestani*, Panagiotis Typaldos, Venkata Karteek Yanumula, Ioannis Papamichail, Markos Papageorgiou | Joint Trajectory Optimization for Multiple Automated Vehicles in Lane-free Traffic with Vehicle Nudging |
1170 | UM01 | 1B | 25 | 17:00-18:00 | Urban Mobility | Kleona Binjaku, Elinda Mece, Cecilia Caterina Pasquale, Simona Sacone* | Control oriented freeway traffic modelling by physics-regularized Machine Learning |
457 | POSTER | HALL | 25 | 15.00-16.30 | Poster session 1 | Huang, Feng; CHEN, Hang; Urtay, Alpamys; Su, Dongzhe; Wen, Weisong; Hsu, Li-Ta | Roadside Infrastructure assisted LiDAR/Inertial-based Mapping for Intelligent Vehicles in Urban Areas |
765 | CL01 | 5G | 28 | 8.00-9.30 | Computing Infrastructure | Sukhu, Jonathan Brandon; Yang, Hao; Abdulsattar, Harith; Razavi, Saiedeh | Assessment of the Impact of Network Infrastructure Failure on Infrastructure-Supported vs. Infrastructure-Less V2X Systems |