| 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. | |
| <B>StyleDrive</B> 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](https://github.com/AIR-THU/StyleDrive) and [Paper](https://arxiv.org/abs/2506.23982). | |
| 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: | |
| ```bibtex | |
| @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} | |
| } | |
| ``` |