0%
The URT-Kashiwa Dataset (Unprotected Right Turn, Kashiwa Campus) is a collection of driving scenario recordings focused on unprotected right turns, a challenging maneuver for autonomous vehicles (equivalent to unprotected left turns in Europe). The dataset was collected at the Kashiwa Campus of the University of Tokyo using the Pixkit 3.0 platform, and includes interactions with one pedestrian and one opponent vehicle across 16 different routes. © 2025 Tsukada Laboratory (T-Lab), The University of Tokyo Contributors: Ehsan Javanmardi, Dongyang Li, Manabu TsukadaRead more
Chauhan, Vishal, Anubhav, Anubhav, Sidhu, Robin, Asabe, Yu, Tanaka, Kanta, Chang, Chia-Ming, Su, Xiang, Javanmardi, Dr. Ehsan, Igarashi, Takeo, Orsholits, Alex, Fujiwara, Kantaro, Tsukada, Manabu, “A Silent Negotiator? Cross-cultural VR Evaluation of Smart Pole Interaction Units in Dynamic Shared Spaces”, In: The ACM Symposium on Virtual Reality Software and Technology (VRST2025) , Montreal, Canada, 2025.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Chauhan2025b, title = {A Silent Negotiator? Cross-cultural VR Evaluation of Smart Pole Interaction Units in Dynamic Shared Spaces}, author = {Vishal Chauhan and Anubhav Anubhav and Robin Sidhu and Yu Asabe and Kanta Tanaka and Chia-Ming Chang and Xiang Su and Dr. Ehsan Javanmardi and Takeo Igarashi and AlexRead more
Li, Yun, Javanmardi, Ehsan, Thompson, Simon, Katsumata, Kai, Orsholits, Alex, Tsukada, Manabu, “PrefDrive: Enhancing Autonomous Driving through Preference-Guided Large Language Models”, In: 36th IEEE Intelligent Vehicles Symposium (IV2025), Cluj-Napoca, Romania, 2025.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Li2025c, title = {PrefDrive: Enhancing Autonomous Driving through Preference-Guided Large Language Models}, author = {Yun Li and Ehsan Javanmardi and Simon Thompson and Kai Katsumata and Alex Orsholits and Manabu Tsukada}, url = {https://github.com/LiYun0607/PrefDrive/ https://huggingface.co/liyun0607/PrefDrive https://huggingface.co/datasets/liyun0607/PrefDrive}, doi = {10.1109/IV64158.2025.11097672}, year = {2025}, date = {2025-06-22}, urldate = {2025-06-22}, booktitle = {36th IEEE Intelligent Vehicles Symposium (IV2025)}, address = {Cluj-Napoca, Romania}, abstract = {This paper presents PrefDrive, a novel framework that integrates driving preferencesRead more
Wu, Hanlin, Lin, Pengfei, Javanmardi, Ehsan, Bao, Naren, Qian, Bo, Si, Hao, Tsukada, Manabu, “A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving “, In: IEEE International Conference on Robotics & Automation (ICRA 2026), Vienna, Austria, 2026.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Wu2026, title = {A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving }, author = {Hanlin Wu and Pengfei Lin and Ehsan Javanmardi and Naren Bao and Bo Qian and Hao Si and Manabu Tsukada}, url = {https://arxiv.org/abs/2506.17004 https://github.com/tlab-wide/Co3SOP}, year = {2026}, date = {2026-06-01}, urldate = {2026-06-01}, booktitle = {IEEE International Conference on Robotics & Automation (ICRA 2026)},Read more
Trumpp, Raphael, Javanmardi, Ehsan, Nakazato, Jin, Tsukada, Manabu, Caccamo, Marco, “RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning”, In: The 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi ,UAE, 2024.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Trumpp2024, title = {RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning}, author = {Raphael Trumpp and Ehsan Javanmardi and Jin Nakazato and Manabu Tsukada and Marco Caccamo}, url = {http://github.com/raphajaner/racemop}, doi = {10.1109/IROS58592.2024.10801657}, year = {2024}, date = {2024-09-14}, urldate = {2024-09-14}, booktitle = {The 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)}, address = {AbuRead more
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”, In: The 26th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Bizkaia, Spain, 2023.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Tao2023c, title = {Flowsim: A Modular Simulation Platform for Microscopic Behavior Analysis of City-Scale Connected Autonomous Vehicles}, author = {Ye Tao and Ehsan Javanmardi and Jin Nakazato and Manabu Tsukada and Hiroshi Esaki}, url = {https://github.com/tlab-wide/flowsim https://arxiv.org/abs/2306.05738}, doi = {10.1109/ITSC57777.2023.10421900}, year = {2023}, date = {2023-09-24}, urldate = {2023-09-24}, booktitle = {The 26th edition of the IEEE International Conference on IntelligentRead more
Yamazaki, Yuji, Tamura, Yasumasa, Defago, Xavier, Javanmardi, Ehsan, Tsukada, Manabu, “ToST: Tokyo SUMO traffic scenario “, In: The 26th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), Bilbao, Bizkaia, Spain, 2023.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Yamazaki2023, title = {ToST: Tokyo SUMO traffic scenario }, author = {Yuji Yamazaki and Yasumasa Tamura and Xavier Defago and Ehsan Javanmardi and Manabu Tsukada}, url = {https://github.com/dfg-lab/ToSTScenario}, doi = {10.1109/ITSC57777.2023.10422517}, year = {2023}, date = {2023-09-24}, urldate = {2023-09-24}, booktitle = {The 26th edition of the IEEE International Conference on Intelligent Transportation Systems (ITSC 2023)}, address = {Bilbao, Bizkaia, Spain}, abstract = {In recent years, research, development, andRead more
We’re thrilled to announce the publication of our research paper, “AutowareV2X: Reliable V2X Communication and Collective Perception for Autonomous Driving,” authored by our dedicated team at the University Lab: Yu Asabe, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, and Hiroshi Esaki. The paper is accepted by the prestigious 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), taking place in Florence, Italy, from 20-23 June 2023. The paper explores the application of vehicle-to-everything (V2X) communication for cooperative intelligent transport systems (C-ITS). We introduce AutowareV2X, a novel V2X communication module integrated into the Autoware autonomous driving software. With features like the Collective Perception Service and a dual-channel mechanism, the module enhances road safety andRead more
A research team from the University of Tokyo’s Graduate School of Information Science and Technology and members of the SDM Consortium designed and developed the “Ultra-Realistic SDM Recording Data Set”Read more
Tsukada, Manabu, Oi, Takaharu, Ito, Akihide, Hirata, Mai, Esaki, Hiroshi, “AutoC2X: Open-source software to realize V2X cooperative perception among autonomous vehicles”, In: The 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall), Victoria, B.C., Canada, 2020.Proceedings Article | Abstract | Links | BibTeX@inproceedings{Tsukada2020, title = {AutoC2X: Open-source software to realize V2X cooperative perception among autonomous vehicles}, author = {Manabu Tsukada and Takaharu Oi and Akihide Ito and Mai Hirata and Hiroshi Esaki}, url = {https://github.com/esakilab/AutoC2X-AW https://hal.archives-ouvertes.fr/hal-02942051/document?.pdf https://youtu.be/kyv0sTyCIgU}, doi = {10.1109/VTC2020-Fall49728.2020.9348525}, year = {2020}, date = {2020-11-18}, urldate = {2020-11-18}, booktitle = {The 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)}, address = {Victoria, B.C., Canada}, abstract = {The realization of vehicle-to-everything (V2X) communicationRead more
We published “UTokyo Hongo campus point cloud map“.Read more
