
open data
open data open source
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 preferences
open data open source
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)},
autonomous driving v2x
[2021 – 2025] We extended the open-source Autoware platform with cooperative perception and maneuver coordination features, enabling next-generation infrastructure-assisted autonomous driving.
extended reality
[2024 – 2025] Real-time offloading of semantic perception tasks from MR headsets to edge AI accelerators, enabling scene-level understanding and interaction in unstructured environments.
We are part of the University of Tokyo’s Graduate School of Information Science and Technology, Department of Creative Informatics and focuses on computer networks and cyber-physical systems
Address
4F, I-REF building, Graduate School of Information Science and Technology, The University of Tokyo, 1-1-1, Yayoi, Bunkyo-ku, Tokyo, 113-8657 Japan
Room 91B1, Bld 2 of Engineering Department, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Mail: