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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.

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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

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Additional Info

Field Value
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/