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| license: apache-2.0 |
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| # FlowDrive Model Card |
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| ## Model Details |
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| We propose FlowDrive, a novel framework that intriduces physically interpretable energy-based flow fields to encode semantic priors and safety cues into the BEV space. |
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| - **Model type:** An end-to-end autonomous driving model based on the energy-based flow fields. |
| - **License:** Non-commercial license |
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| ### Model Sources |
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| - **Repository:** https://github.com/AstrixDrive/FlowDrive |
| - **Paper:** https://arxiv.org/abs/2509.14303 |
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| ## Uses |
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| The primary use of FlowDrive is for the end-to-end autonomous driving. |
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| ## Citation Information |
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| @article{jiang2025flowdrive, |
| title={FlowDrive: Energy Flow Field for End-to-End Autonomous Driving}, |
| author={Jiang, Hao and Zhang, Zhipeng and Gao, Yu and Sun, Zhigang and Wang, Yiru and Heng, Yuwen and Wang, Shuo and Chai, Jinhao and Chen, Zhuo and Zhao, Hao and others}, |
| journal={arXiv preprint arXiv:2509.14303}, |
| year={2025} |
| } |
