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--- |
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license: apache-2.0 |
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language: |
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- en |
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tags: |
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- autonomous-driving |
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- end-to-end |
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- personalization |
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pretty_name: StyleDrive |
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size_categories: |
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- 1B<n<10B |
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--- |
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We release the checkpoints and StyleDrive's preference annotations in this huggingface repo. |
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<B>StyleDrive</B> is the first large-scale real-world dataset designed to advance personalized end-to-end autonomous driving (E2EAD). |
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This repository includes: |
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🧠 Model checkpoints. |
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📊 StyleDrive datasets' annotations. |
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These resources support training and evaluating models under our proposed benchmark for personalized E2EAD, enabling more human-aligned and context-aware driving behaviors. |
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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). |
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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: |
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```bibtex |
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@article{hao2025styledrive, |
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title={StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving}, |
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author={Hao, Ruiyang and Jing, Bowen and Yu, Haibao and Nie, Zaiqing}, |
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journal={arXiv preprint arXiv:2506.23982}, |
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year={2025} |
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} |
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``` |
