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End-to-end Autonomous Driving

This repo is all you need for end-to-end autonomous driving research. We present awesome talks, comprehensive paper collections, benchmarks, and challenges.

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Table of Contents

At a Glance

The autonomous driving community has witnessed a rapid growth in approaches that embrace an end-to-end algorithm framework, utilizing raw sensor input to generate vehicle motion plans, instead of concentrating on individual tasks such as detection and motion prediction. In this survey, we provide a comprehensive analysis of more than 270 papers on the motivation, roadmap, methodology, challenges, and future trends in end-to-end autonomous driving. More details can be found in our survey paper.

End-to-end Autonomous Driving: Challenges and Frontiers

Li Chen<sup>1,2</sup>, Penghao Wu<sup>1</sup>, Kashyap Chitta<sup>3,4</sup>, Bernhard Jaeger<sup>3,4</sup>, Andreas Geiger<sup>3,4</sup>, and Hongyang Li<sup>1,2</sup>

<sup>1</sup> OpenDriveLab, Shanghai AI Lab, <sup>2</sup> University of Hong Kong, <sup>3</sup> University of Tübingen, <sup>4</sup> Tübingen AI Center

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If you find some useful related materials, shoot us an email or simply open a PR!

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Learning Materials for Beginners

Online Courses

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Workshops and Talks

Workshops (recent years)

Workshops (previous years)

<details> </details> </br>

Talks

<details> <summary>Relevant talks from other workshops</summary> </details> <p align="right">(<a href="#top">back to top</a>)</p>

Paper Collection

We list key challenges from a wide span of candidate concerns, as well as trending methodologies. Please refer to this page for the full list, and the survey paper for detailed discussions.

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Benchmarks and Datasets

Closed-loop

<details> <summary>Open-loop</summary> </details> <p align="right">(<a href="#top">back to top</a>)</p>

Competitions / Challenges

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Contributing

Thank you for all your contributions. Please make sure to read the contributing guide before you make a pull request.

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License

End-to-end Autonomous Driving is released under the MIT license.

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Citation

If you find this project useful in your research, please consider citing:

@article{chen2023e2esurvey,
  title={End-to-end Autonomous Driving: Challenges and Frontiers},
  author={Chen, Li and Wu, Penghao and Chitta, Kashyap and Jaeger, Bernhard and Geiger, Andreas and Li, Hongyang},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2024}
}
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Contact

Primary contact: hy@opendrivelab.com. You can also contact: lichen@opendrivelab.com.

Join OpenDriveLab Slack to chat with the commuty! Slack channel: #e2ead.

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