A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook

This repository stores datasets mentioned in the paper A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook, and also provides related codes. The repo maintained by TUM-AIR will be continuously updated to track the latest work in the community.

If there are any questions or suggestions, please feel free to reach out to mingyu.liu@tum.de).

Keywords: Dataset, Autonomous driving, Impact score, Annotation, Data analysis

🤝   Citation

Please visit A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook for more details and comprehensive information. If you find our paper and repo helpful, please consider citing it as follows:

@article{liu2024survey,
  title={A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook},
  author={Liu, Mingyu and Yurtsever, Ekim and Fossaert, Jonathan and Zhou, Xingcheng and Zimmer, Walter and Cui, Yuning and Zagar, Bare Luka and Knoll, Alois C},
  journal={IEEE Transactions on Intelligent Vehicles},
  year={2024},
  publisher={IEEE}
}

Dataset tables

Dataset tables in main paper

Dataset tables in supplementary

The additional datasets are collected in the supplementary material.

Statistics

We provide codes that we used to conduct statistics in our paper. You can download the neccessary .csv files by Google Driver.

## License

This repository is released under the MIT license.