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open source
autonomous driving machine learning
[2023 – 2024] Research on developing safer and more human-like autonomous driving systems using large language models that learn human driving preferences.
machine learning v2x
[2025] A novel framework enabling collaborative perception among vehicles with different models by adapting on-the-fly during inference.
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
