To help make use of the data

The Oxford RobotCar Dataset contains over 100 repetitions of a consistent route through Oxford, UK, captured over a period of over a year. The dataset captures many different combinations of weather, traffic and pedestrians, along with longer term changes such as construction and roadworks.

2020-02-20

We are pleased to release the ground truth reference data towards a planned challenging long-term localisation and mapping Oxford RobotCar Long-Term Autonomy Benchmark.

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Citation

To use this dataset in your publications please cite the following paper:

W. Maddern, G. Pascoe, C. Linegar and P. Newman, "1 Year, 1000km: The Oxford RobotCar Dataset", The International Journal of Robotics Research (IJRR), 2016. [Bibtex][PDF]

@article{RobotCarDatasetIJRR,

Author = {Will Maddern and Geoff Pascoe and Chris Linegar and Paul Newman},

Title = {{1 Year, 1000km: The Oxford RobotCar Dataset}},

Journal = {The International Journal of Robotics Research (IJRR)},

Volume = {36},

Number = {1},

Pages = {3-15},

Year = {2017},

doi = {10.1177/0278364916679498},

URL =

{http://dx.doi.org/10.1177/0278364916679498},

eprint =

{http://ijr.sagepub.com/content/early/2016/11/28/0278364916679498.full.pdf+html},

Pdf = {http://robotcar-dataset.robots.ox.ac.uk/images/robotcar_ijrr.pdf}}

If you use the released ground truth, please also cite the following paper:

W. Maddern, G. Pascoe, M. Gadd, D. Barnes, B. Yeomans, and P. Newman, "Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset", in arXiv preprint arXiv: 2002.10152, 2020. [Bibtex][PDF]

@article{RCDRTKArXiv,

author = {Will Maddern and Geoffrey Pascoe and Matthew Gadd and Dan Barnes and Brian Yeomans and Paul Newman},

title = {Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset},

journal = {arXiv preprint arXiv: 2002.10152},

url = {https://arxiv.org/pdf/2002.10152},

pdf = {https://arxiv.org/pdf/2002.10152.pdf},

year = {2020}

}

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License and is intended for non-commercial academic use. If you are interested in using the dataset for commercial purposes please contact us.

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