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<div align="center">End-to-End Autonomous Driving through V2X Cooperation
</div> <h3 align="center"> <a href="https://arxiv.org/abs/2404.00717">arXiv</a> | Demo[comming soon] | Code[comming soon] </h3><br><br>
Table of Contents:
Highlights <a name="high"></a>
- UniV2X is the first cooperative autonomous driving framework that seamlessly integrates all key driving modules across diverse driving views into a unified network.
News <a name="news"></a>
2024/04/02
UniV2X paper is available on arXiv.
TODO List <a name="todos"></a>
- Base-model code release (on DAIR-V2X)
- Base-model configs & checkpoints (on DAIR-V2X)
- Benchmark code release (on DAIR-V2X)
- Benchmark configs & checkpoints (on DAIR-V2X)
- Support more datasets
License <a name="license"></a>
All assets and code are under the Apache 2.0 license unless specified otherwise.
Citation <a name="citation"></a>
Please consider citing our paper if the project helps your research with the following BibTex:
@inproceedings{yu2024_univ2x,
title={End-to-End Autonomous Driving through V2X Cooperation},
author={Haibao Yu and Wenxian Yang and Jiaru Zhong and Zhenwei Yang and Siqi Fan and Ping Luo and Zaiqing Nie},
booktitle={https://arxiv.org/abs/2404.00717},
year={2024},
}