You're currently viewing an old version of this dataset. To see the current version, click here.

KITTI Odometry

The dataset used in the paper is a large-scale point cloud compression framework, which can organize sparse and un-structured point clouds in a memory-efficient way.

Data and Resources

This dataset has no data

Cite this as

Yiheng Li, Canhui Tang, Runzhao Yao, Aixue Ye, Feng Wen, Shaoyi Du (2025). Dataset: KITTI Odometry. https://doi.org/10.57702/8t5hcmlw

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.1109/ICME55011.2023.00346
Citation
  • https://doi.org/10.1109/ICRA48506.2021.9561642
  • https://doi.org/10.48550/arXiv.2211.08144
  • https://doi.org/10.48550/arXiv.2004.05821
  • https://doi.org/10.1007/978-3-031-19839-7_43
  • https://doi.org/10.48550/arXiv.2107.07557
Author Yiheng Li
More Authors
Canhui Tang
Runzhao Yao
Aixue Ye
Feng Wen
Shaoyi Du
Homepage https://www.kitti-website.org/