DriveVLA/OpenDriveVLA：[AAAI 2026]OpenDriveVLA：迈向基于大型

项目介绍

DriveVLA/OpenDriveVLA 是一个托管在 GitHub 上的开源项目，主要使用 Python 编写，采用 Apache License 2.0 许可证，目前获得 828 个 Star、85 次 Fork。

仓库全名: DriveVLA/OpenDriveVLA

README 摘要

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model Project Page | arXiv Overview ✨ Todo List News Getting Started Citation TODO List 📅 We will release the model code and checkpoints soon. Stay tuned! 🔥 [x] Release environment setup [x] Release inference code [x] Release checkpoints [ ] Release training scripts News 📢 2025/11/14 Released the OpenDriveVLA 0.5B checkpoint on…

完整内容见 GitHub 原始 README 或本页。

常见问题

OpenDriveVLA 用什么语言开发？

主要使用 Python 编写，采用 Apache License 2.0 许可证，目前有 828 个 Star。

OpenDriveVLA 可以免费商用吗？

如何获取 OpenDriveVLA 的源码？

可以直接克隆仓库：git clone https://github.com/DriveVLA/OpenDriveVLA.git，默认分支为 main；安装与运行步骤见仓库 README。

OpenDriveVLA 最近还在维护吗？

仓库最近一次更新为 2月16日，当前有 15 个未关闭 Issue；Star 数为 828，可作为社区活跃度的参考。

关于

GitHub 原始描述（英文）

[AAAI 2026] OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model

autonomous-driving end-to-end-autonomous-driving vision-language-action-model

Apache License 2.0
828 Stars
85 Forks
30 Watching

描述取自 GitHub 官方 API，保持仓库作者书写的原文。

简要分析

热度分

1028

价值分

524

活跃状态

活跃

GitHub

语言占比

Python

Shell

贡献者

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model

Project Page | arXiv

TODO List 📅

We will release the model code and checkpoints soon. Stay tuned! 🔥

Release environment setup
Release inference code
Release checkpoints
Release training scripts

News 📢

2025/11/14 Released the OpenDriveVLA 0.5B checkpoint on Hugging Face. 🌟
2025/11/08 OpenDriveVLA paper accepted by AAAI 2026. 🎉
2025/08/10 OpenDriveVLA model & inference code released. 🔥
2025/04/01 OpenDriveVLA paper is available on arXiv.
2025/03/28 We release the environment setup of OpenDriveVLA.
- To make the dependencies of our OpenDriveVLA model [mmcv & mmdet3d] compatible with PyTorch 2.1.2 and support Transformers and Deepspeed, we selected specific versions and enhanced the source code accordingly. The resulting customized libraries are available in the third_party folder.

Getting Started 🌟

Citation 📝

If you find our project useful for your research, please consider citing our paper and codebase with the following BibTeX:

@misc{zhou2025opendrivevlaendtoendautonomousdriving,
      title={OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model}, 
      author={Xingcheng Zhou and Xuyuan Han and Feng Yang and Yunpu Ma and Volker Tresp and Alois Knoll},
      year={2025},
      eprint={2503.23463},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.23463}, 
}

Acknowledgement 🤝

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OpenDriveVLA