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Closed-loop multi-ability evaluation of end-to-end autonomous driving algorithms

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overview

What can Bench2Drive provide ?

Bench2Drive

Table of Contents:

  1. News
  2. Datasets
  3. Benchmark
  4. License
  5. Citation

News

  • [2024/04/27] Bench2Drive releases the Mini(10 clips) and Base (1000 clips) split of the official training set.

Datasets

  • The datasets has 3 subsets, namely Mini(10 clips), Base(1000 clips) and Full(10000 clips), to accommodate different levels of computational resource.
  • Download datasets from huggingface or baiduyun.
  • Detailed explanation of dataset structure, annotation information, and visualization of data.

Benchmark (Coming soon)

License

All assets and code are under the Apache 2.0 license unless specified otherwise.

Citation

Please consider citing our paper if the project helps your research with the following BibTex:

@article{jia2024bench,
  title={Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving},
  author={Xiaosong Jia and Zhenjie Yang and Qifeng Li and Zhiyuan Zhang and Jiazi Bu and Junchi Yan},
  journal={\url{https://github.com/Thinklab-SJTU/Bench2Drive}},
  year={2024}
}

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