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https://github.com/NeBula-Autonomy/nebula-odometry-dataset

Ready to test your SLAM system in challenging datasets from extreme environments? Try this out! The dataset is provided by the Team CoSTAR that has been intensively testing multi-robot systems in real world environments such as caves, tunnels, abandoned factories and industrial plants for the DARPA Subterranean Challenge.
https://github.com/NeBula-Autonomy/nebula-odometry-dataset

Last synced: 2 months ago
JSON representation

Host: GitHub
URL: https://github.com/NeBula-Autonomy/nebula-odometry-dataset
Owner: NeBula-Autonomy
License: mit
Created: 2022-03-15T21:07:43.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2022-09-02T06:29:26.000Z (almost 2 years ago)
Last Synced: 2024-01-21T04:56:14.320Z (5 months ago)
Homepage:
Size: 47.9 MB
Stars: 146
Watchers: 7
Forks: 14
Open Issues: 7
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-mobile-robotics - NeBula

README

        






# NeBula odometry dataset

- [Overview](pages/overview.md)

- [Download datasets](pages/dataset.md)

- Topics and frame convention

  - [LiDAR dataset](pages/topic_lidar.md)

  - [Hovermap dataset](pages/topic_hovermap.md)



# Cite

If you use this dataset in your research, we would kindly ask that you cite the following publication:

```

@ARTICLE{reinke2022iros,

  author={Reinke, Andrzej and Palieri, Matteo and Morrell, Benjamin and Chang, Yun and Ebadi, Kamak and Carlone, Luca and Agha-Mohammadi, Ali-Akbar},

  journal={IEEE Robotics and Automation Letters}, 

  title={LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D Mapping}, 

  year={2022},

  volume={},

  number={},

  pages={1-8},

  doi={10.1109/LRA.2022.3181357}}

```

Paper available on arXiv [here](https://arxiv.org/abs/2205.11784)

# Problems or clarification needed?

Submit ticket [here](https://github.com/NeBula-Autonomy/nebula-odometry-dataset/issues)