metadata
license: apache-2.0
language:
- en
tags:
- autonomous-driving
- end-to-end
- personalization
pretty_name: StyleDrive
size_categories:
- 1B<n<10B
We release the checkpoints and StyleDrive's preference annotations in this huggingface repo.
StyleDrive is the first large-scale real-world dataset designed to advance personalized end-to-end autonomous driving (E2EAD).
This repository includes:
🧠 Model checkpoints.
📊 StyleDrive datasets' annotations.
These resources support training and evaluating models under our proposed benchmark for personalized E2EAD, enabling more human-aligned and context-aware driving behaviors.
For env configs, code, training pipelines, and benchmark details, please visit our GitHub repository and Paper.
If you find StyleDrive is useful in your research or applications, please consider giving us a star 🌟 on GitHub and citing it by the following BibTeX entry:
@article{hao2025styledrive,
title={StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving},
author={Hao, Ruiyang and Jing, Bowen and Yu, Haibao and Nie, Zaiqing},
journal={arXiv preprint arXiv:2506.23982},
year={2025}
}