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 | Authors | Title |
---|---|---|---|---|---|---|
1600 | WS01 | 5A | 24 | ALL DAY | Mharolkar, Sanat; Kircali, Dogan; Yang, Huan; Yang, Xun; Wang, Danwei | High-fidelity Teleoperation for Heavy Duty and Fast-moving Vehicles |
273 | WS02 | 3B | 24 | 8:00-13:00 | Stappen, Lukas; Dillmann, Jeremy; Striegel, Serena; Voegel, Hans Joerg; Flores-Herr, Nicolas; Schuller, Björn | Integrating Generative Artificial Intelligence in Intelligent Vehicle Systems: A Research Agenda |
827 | WS02 | 3B | 24 | 8:00-13:00 | Mohammad, Samir Hussein Ali; Farah, Haneen; Zgonnikov, Arkady | Modeling gap acceptance in overtaking: a cognitive process approach |
828 | WS02 | 3B | 24 | 8:00-13:00 | Li, Mengyao; Mehrotra, Shashank; Akash, Kumar; Misu, Teruhisa; Lee, John | You Cooperate, I Reciprocate: Well-Being and Trust in Automated Vehicles |
1342 | WS02 | 3B | 24 | 8:00-13:00 | Dolins, Sigma | Understanding User Acceptance of Shared Autonomous Vehicles for Potential Use in Public Transport: Insights from Focus Groups in Sweden |
484 | WS03 | 0C | 24 | 8:00-16:30 | Vizzo, Ignacio; Mersch, Benedikt; Nunes, Lucas; Wiesmann, Louis; Guadagnino, Tiziano; Stachniss, Cyrill | Toward Reproducible Version-Controlled Perception Platforms: Embracing Simplicity in Autonomous Vehicle Dataset Acquisition |
1379 | WS03 | 0C | 24 | 8:00-16:30 | Mentasti, Simone; Cudrano, Paolo; Arrigoni, Stefano; Matteucci, Matteo; cheli, federico | Beyond Image-Plane-Level: A Dataset for Validating End-to-End Line Detection Algorithms for Autonomous Vehicles |
1143 | WS06 | 0D.3 | 24 | 14:00-19:00 | Gao, Xin; Luan, Tian; Li, Xueyuan; Liu, Qi; Meng, Xiaoqiang; Li, Zirui | A Human Feedback-Driven Decision-Making Method Based on Multi-Modal Deep Reinforcement Learning in Ethical Dilemma Traffic Scenarios |
1501 | WS06 | 0D.3 | 24 | 14:00-19:00 | Filipe, Francisco; Kokkinogenis, Zafeiris; d’Orey, Pedro M.; Rossetti, Rosaldo | Cooperative, Connected and Autonomous Mobility: A Simulation Framework for Evaluation of Coordination Mechanisms |
679 | WS07 | 3B | 24 | 14:00-19:00 | Schumann, Julian Frederik; Srinivasan, Aravinda Ramakrishnan; Kober, Jens; Markkula, Gustav; Zgonnikov, Arkady | Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study |
684 | WS07 | 3B | 24 | 14:00-19:00 | Tee, Jia Yu; De Candido, Oliver; Utschick, Wolfgang; Geiger, Philipp | On Learning the Tail Quantiles of Driving Behavior Distributions Via Quantile Regression and Flows |
1462 | WS07 | 3B | 24 | 14:00-19:00 | Gremmelmaier, Helen; Hierzegger, Lukas; Mohammed Ismail, Mohammed Sohail; Zöllner, J. Marius | Bicyclist behavior: An overview of the features and methods of trajectory modeling. |
697 | WS10 | 3A | 24 | 8:00-13:00 | Hürten, Christian; Weber, Thomas; Mueller, Felix; Sutanto, Jason Dhanawira; Kracht, Frederic Etienne; Schramm, Dieter | Concept of an Alert Management System for Remote-Controlled Inland Shipping Vessels |
759 | WS10 | 3A | 24 | 8:00-13:00 | Donandt, Kathrin; Böttger, Karim; Söffker, Dirk | Improved Context-Sensitive Transformer Model for Inland Vessel Trajectory Prediction |
847 | WS10 | 3A | 24 | 8:00-13:00 | Hohn, Maximilian; Jarofka, Maximilian; Kracht, Frederic Etienne; Schramm, Dieter | Smart and Green Ship: A Platform for the Development of Automation, Remote Control and Connectivity |
1076 | WS10 | 3A | 24 | 8:00-13:00 | Hösch, Lukas; An, Xiangdong; Alonso Javier, Llorente Landero; Juan Pedro, Llerena Cana; Medina, Daniel | High Definition Mapping for Inland Waterways: Techniques, Challenges and Prospects |
132 | WS11 | 0D.1 | 24 | 14:00-19:00 | Mihalj, Tomislav; Nalic, Demin; Arefnezhad, Sadegh; Eichberger, Arno | Hazards identification using scenario-based testing with respect to ISO PAS 21448 and ISO 26262 |
232 | WS11 | 0D.1 | 24 | 14:00-19:00 | Han, Qingwen; Yue, Jiao; Ye, Lei; Zeng, Lingqiu; Long, Yang; Wang, Yong | The Critical Scenario Extraction and Identification Method for ICV Testing |
379 | WS11 | 0D.1 | 24 | 14:00-19:00 | Kurzidem, Iwo; Burton, Simon; Schleiss, Philipp | SafeSens – Uncertainty Quantification of Complex Perception Systems |
841 | WS11 | 0D.1 | 24 | 14:00-19:00 | Gu, Xinyu; Wu, Siyu; Li, Boqi; Wang, Hong; Jiao, Xiaohong; Wang, Zheng; Lu, Wei; Yu, Wenhao; Chen, Liyang; Hu, Jia; Zhao, Shulian | Copula-Based Interactive Behavior Modeling for Naturalistic Test Scenarios generation |
1324 | WS11 | 0D.1 | 24 | 14:00-19:00 | He, Zimin; Zhang, Jiawei; YAO, Danya; ZHANG, Yi; PEI, Huaxin | Adversarial Generation of Safety-Critical Lane-Change Scenarios for Autonomous Vehicles |
1686 | WS11 | 0D.1 | 24 | 14:00-19:00 | Jawad, Abdul; Whitehead, Jim | CogMod: Driver Model for Augmenting Scenario Criticality |
401 | WS12 | 0B | 24 | 8:00-13:00 | LI, Guopeng; Jiao, Yiru; Knoop, Victor; Calvert, Simeon Craig; van Lint, Hans | Large Car-Following Data Based on Lyft Level-5 Open Dataset: Following Autonomous Vehicles vs. Human-Driven Vehicles |
1036 | WS12 | 0B | 24 | 8:00-13:00 | Yao, Xue; Calvert, Simeon Craig; Hoogendoorn, Serge | Identification of Driving Heterogeneity using Action-chains |
1196 | WS12 | 0B | 24 | 8:00-13:00 | Gong, Hailong; Li, Zirui; Lu, Chao; Gong, Jianwei | Towards Online Risk Assessment for Human-robot Interaction: A Data-driven Hamilton-Jacobi-Isaacs Reachability Approach |
1205 | WS12 | 0B | 24 | 8:00-13:00 | Wang, Han; Wu, Haochen; Lu, Juanwu; Tang, Fang; Delle Monache, Maria Laura | Communication Optimization for Multi-agent Reinforcement Learning-based Traffic Control System with Explainable Protocol |
1214 | WS12 | 0B | 24 | 8:00-13:00 | Yuan, Henan; Li, Penghui; van Arem, Bart; Kang, Liujiang; Farah, Haneen; Dong, Yongqi | Safe, Efficient, Comfort, and Energy-Saving Automated Driving through Roundabout Based on Deep Reinforcement Learning |
1578 | WS12 | 0B | 24 | 8:00-13:00 | Dong, Yongqi; Datema, Tobias; Wassenaar, Vincent; van de Weg, Joris Johannes; Kopar, Cahit; Iqbal Suleman, Harim | Comprehensive Training and Evaluation on Deep Reinforcement Learning for Automated Driving in Various Simulated Driving Maneuvers |
1622 | WS12 | 0B | 24 | 8:00-13:00 | Zhang, Hui; Hou, Ninghao; Ding, Naikan; Ran, Changhao; Wu, Huiyu | Comparative Safety and Stability Assessment of Autonomous Vehicle Lane-changing Strategies at Urban Expressway Weaving Section in Mixed Traffic |
417 | WS14 | 0D.2 | 24 | 8:00-13:00 | Lu, Jiayi; Cao, Yaoguang; Shi, Runwu; Zhang, Boao; Chen, Yuyi; Sun, Bin; Pang, Zhaowen; Zhou, Fan; Yang, Shichun | An Efficient Driver Anomaly State Detection System Based on End-Cloud Integration and Unsupervised Learning |
563 | WS14 | 0D.2 | 24 | 8:00-13:00 | Wang, Rui; Yang, Shichun; Chen, Yuyi; Shi, Runwu; Li, Zhuoyang; Lu, Jiayi; Feng, Xinjie; Yan, Xiaoyu; Zhou, Fan; Cao, Yaoguang | Domain Adaptive Road Perception Network of Autonomous Vehicles |
599 | WS14 | 0D.2 | 24 | 8:00-13:00 | Chen, Yuyi; Yang, Shichun; Wang, Zhiteng; nan, zhaobo; Wang, Rui; Zhou, Fan; Yan, Xiaoyu; Cao, Yaoguang | MEC-enabled Lane Change Prediction with Spatiotemporal Attention Mechanism for ITS |
950 | WS14 | 0D.2 | 24 | 8:00-13:00 | Zhang, Zhengjie; Wang, Mingyue; Jin, Yuntao; Sun, Yefan; Wang, Rui; Yang, Shichun | Research on Battery Fault Diagnosis Method Based on Entropy |
1401 | WS14 | 0D.2 | 24 | 8:00-13:00 | Atılgan, İrem; Guvensan, M. Amac; Turkmen, H. Irem | Towards Accurate Highway Road Accident Detection: Developing Deep Learning Strategies with Distant Past, Recent Past, and Adjacency Features |
373 | WS15 | 0D.2 | 24 | 14:00-19:00 | Ruwisch, Fabian; Schön, Steffen | GNSS Feature Map Aided RTK Positioning in Urban Trenches |
397 | WS15 | 0D.2 | 24 | 14:00-19:00 | Bétaille, David; MEURIE, Cyril; Cocheril, Yann | Vision- and map-based non-line-of-sight satellites hybridized processing |
809 | WS15 | 0D.2 | 24 | 14:00-19:00 | Axmann, Jeldrik; Brenner, Claus | Maximum Consensus based Localization and Protection Level Estimation using Synthetic LiDAR Range Images |
1348 | WS15 | 0D.2 | 24 | 14:00-19:00 | Héry, Elwan; Xu, Philippe; BONNIFAIT, Philippe | A study of different observation models for cooperative localization in platoons |
1706 | WS16 | 5G | 24 | 8:00-13:00 | Aranguren, Andoni; Laña, Ibai; Osaba, Eneko; Urra, Silvia | Isochrone Overlapping: A Novel Approach to Mobility and Infrastructure Planning |
1708 | WS16 | 5G | 24 | 8:00-13:00 | Delgado-Enales, Iñigo; Molina-Costa, Patricia; Del Ser, Javier | Spatial Estimation of Ground-Level Temperature for Climate-Sensitive Urban Mobility Using Image-To-Image Deep Neural Networks |
457 | WS17 | 5B | 24 | ALL DAY | 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 |
710 | WS17 | 5B | 24 | ALL DAY | Huang, Feng; Wen, Weisong; Zhang, Guohao; Su, Dongzhe; Hsu, Li-Ta | Adaptive Multi-Sensor Integrated Navigation System Aided by Continuous Error Map from RSU for Autonomous Vehicles in Urban Areas |
897 | WS17 | 5B | 24 | ALL DAY | ZHANG, Zekun; Xu, Penghui; Zhang, Guohao; Hsu, Li-Ta | Intelligent GNSS Satellite Visibility Classification in Urban Areas: A Deep Learning Approach with Interpretation |
912 | WS17 | 5B | 24 | ALL DAY | Alvarez, Ignacio; Gassmann, Bernd; Dey, Shreya; Oboril, Fabian; Scholl, Kay-Ulrich | Application of Responsibility-Sensitive Safety in areas with limited visibility: Occlusions in RSS |
1068 | WS17 | 5B | 24 | ALL DAY | Xi, Zheng; Wen, Weisong; Hsu, Li-Ta | Tightly-coupled Line Feature-aided Visual Inertial Localization within Lightweight 3D Prior Map for Intelligent Vehicles |
1228 | WS17 | 5B | 24 | ALL DAY | Lo, Li-Yu; Li, Boyang; Wen, Chih-Yung; Chang, Ching-Wei | Landing a Quadrotor on a Ground Vehicle without Exteroceptive Airborne Sensors: A Non-Robocentric Framework and Implementation |
1297 | WS17 | 5B | 24 | ALL DAY | Hu, Runzhi; Wen, Weisong; Hsu, Li-Ta | Fisheye Camera Aided GNSS NLOS Detection and Learning-based Pseudorange Bias Correction for Intelligent Vehicles in Urban Canyons |
633 | WS18 | 3A | 24 | 14:00-19:00 | Grétarsson, Brynjar Örn; Orfanidis, Charalampos; Marchegiani, Letizia; Fafoutis, Xenofon | Short-Term Wireless Connectivity Prediction for Connected Agricultural Vehicles |
687 | WS18 | 3A | 24 | 14:00-19:00 | Ruiz-Llata, Marta; Bonilla-Manrique, Oscar Elías; Acedo, Pablo | Sensor for gauging road surface grip ahead of the vehicle |
887 | WS18 | 3A | 24 | 14:00-19:00 | EL MOUDNI, Anass; Morbidi, Fabio; Kramm, Sebastien; boutteau, remi | An Event-based Stereo 3D Mapping and Tracking Pipeline for Autonomous Vehicles |
1478 | WS18 | 3A | 24 | 14:00-19:00 | Su, Peng; Warg, Fredrik; CHEN, DeJiu | A Simulation-Aided Approach to Safety Analysis of Learning-Enabled Components in Automated Driving Systems |
177 | WS20 | 0D.3 | 24 | 8:00-13:00 | Poibrenski, Atanas; Nozarian, Farzad; Rezaeianaran, Farzaneh; Müller, Christian | Uncertainty-aware pseudo labels for domain adaptation in pedestrian trajectory prediction |
527 | WS20 | 0D.3 | 24 | 8:00-13:00 | achaji, lina; moreau, julien; Aioun, Francois; Charpillet, François | Analysis over vision-based models for pedestrian action anticipation |
1676 | WS20 | 0D.3 | 24 | 8:00-13:00 | Muktadir, Golam Md; Huang, Taorui; Ikram, Zarif; Jawad, Abdul; Whitehead, Jim | PedGrid – A Simple yet Expressive Simulation Environment for Pedestrian Behavior Modeling |
997 | WS24 | 5A | 27 | 17:00-18:30 | Bian, Jing; Chen, Peng | Vehicle Path Reconstruction Using Automatic Vehicle Identification Data: A Bi-Directional Long Short-Term Memory-Based Approach |
1060 | WS24 | 5A | 27 | 17:00-18:30 | Hu, Run; Tang, Zheyi; Hu, Qinru; Na, Xiaoxiang; Angeloudis, Panagiotis; Lee, Der-Horng; Hu, Simon | Bi-Level Programming Approach for Optimal Charging Station Location and Traffic Assignment in Electric Autonomous Vehicle Systems |
1446 | WS24 | 5A | 27 | 17:00-18:30 | Deshpande, Parth; de Saxe, Christopher Charles; Ainalis, Daniel; Miles, John; CEBON, DAVID | Analysis of Fast Charging Arrangements for Electric Heavy Goods Vehicles |
1053 | WS25 | 0E | 24 | 14:00-19:00 | Wang, Ding; Wang, Xuhong; Chen, Liang; Yao, Shengyue; Jing, Ming; Li, Honghai; Bao, Shiqiang; Li, Li; Wang, Fei-Yue; Lin, Yilun | TransWorldNG: Traffic Simulation via Foundation Model |
1082 | WS25 | 0E | 24 | 14:00-19:00 | Wang, Xuhong; Wang, Ding; Chen, Liang; Wang, Fei-Yue; Lin, Yilun | Building Transportation Foundation Model via Generative Graph Transformer |
1405 | WS25 | 0E | 24 | 14:00-19:00 | Yao, Shengyue; Yu, Jingru; Yu, Yi; Xu, Jia; Dai, Xingyuan; Li, Honghai; Wang, Fei-Yue; Lin, Yilun | Towards Integrated Traffic Control with Operating Decentralized Autonomous Organization |
1699 | WS25 | 0E | 24 | 14:00-19:00 | Dai, Xingyuan; zhang, yan; Tang, Yiqing; chen, hongrui; sun, jiaming; cong, fei; lu, yanan; Lv, Yisheng | Parallel System Based Predictive Control for Traffic Signals in Large-Scale Road Networks |