KITTI odometry benchmark dataset

The KITTI odometry benchmark dataset is used for evaluating computer vision algorithms in autonomous driving scenarios. It contains LiDAR data collected with Velodyne HDL-64E, which has 64 laser beams.

Data and Resources

Cite this as

Deyu Yin, Qian Zhang, Jingbin Liu, Xinlian Liang, Yunsheng Wang, Jyri Maanpää, Hao Ma, Juha Hyyppä, Ruizhi Chen (2025). Dataset: KITTI odometry benchmark dataset. https://doi.org/10.57702/8f2esj1b

DOI retrieved: January 3, 2025

Additional Info

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Created January 3, 2025
Last update January 3, 2025
Defined In https://doi.org/10.48550/arXiv.2001.01354
Author Deyu Yin
More Authors
Qian Zhang
Jingbin Liu
Xinlian Liang
Yunsheng Wang
Jyri Maanpää
Hao Ma
Juha Hyyppä
Ruizhi Chen
Homepage https://www.kitti-odometry.org/