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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

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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, “Co3SOP: A Collaborative 3D Semantic Occupancy Prediction Dataset and Benchmark for Autonomous Driving”, 2025, visited: 13.04.2025.Online | Abstract | Links | BibTeX@online{Wu2025, title = {Co3SOP: A Collaborative 3D Semantic Occupancy Prediction Dataset and Benchmark for 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/2506.17004v1 https://github.com/tlab-wide/Co3SOP}, year = {2025}, date = {2025-04-13}, urldate = {2025-04-13}, abstract = {3D semantic occupancy prediction is an emerging perception paradigm in autonomous driving, providing a voxel-level representation of both geometric details and semanticRead 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

We published “UTokyo Hongo campus point cloud map“.Read more