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oxfordrobotcar

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Description The Oxford RobotCar Dataset is a large-scale autonomous driving dataset collected by the University of Oxford. It contains repeated traversals of a route through Oxford, providing data from cameras, LiDAR, GPS/INS, and other vehicle sensors.
Folder /datasets/ai/oxfordrobotcar
Discipline AI / Robotics / PhysicalAI
DOI 10.1177/0278364916679498
Link Access Data
Public True
Publication Date 2016
Downloaded 2026-07-10
Data Type Compressed LMDB format on Anvil FileSystem; Extracted Images, LiDAR point clouds, GPS/INS measurements, sensor timestamps on Ceph
Dataset Size Approx. 10TB
Number of Files 34.332M (extracted)
Usage 
$ module avail
$ module load datasets
$ module load ai/oxfordrobotcar/2016
Usage Policy Link https://robotcar-dataset.robots.ox.ac.uk/terms/
Usage Policy This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and is intended for research and academic use.
Citation Maddern, W., Pascoe, G., Linegar, C., Newman, P. (2017). 1 Year, 1000km: The Oxford RobotCar Dataset. The International Journal of Robotics Research.
BibTeX
📜 View BibTeX citation
@article{maddern2017oxford,
  author={Maddern, Will and Pascoe, Geoffrey and Linegar, Chris and Newman, Paul},
  title={1 Year, 1000km: The Oxford RobotCar Dataset},
  journal={The International Journal of Robotics Research},
  volume={36},
  number={1},
  pages={3--15},
  year={2017},
  publisher={SAGE Publications},
  doi={10.1177/0278364916679498}
}

@article{maddern2020real_time,
  author={Maddern, Will and Pascoe, Geoffrey and Gadd, Matthew and Barnes, Dan and Yeomans, Ben and Newman, Paul},
  title={Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset},
  journal={arXiv preprint arXiv:2002.10152},
  year={2020},
  url={https://arxiv.org/abs/2002.10152}
}

Ceph access

This dataset is also available in raw/extracted form on RCAC Ceph/S3-compatible object storage.

Parameter Value
Endpoint https://s3.anvil.rcac.purdue.edu
Bucket ai-datasets
Access Public read-only

For detailed instructions, see the AI datasets overview.