Livox-3DMatch

Citation Author(s):
Yibo
Liu
York University
Submitted by:
Yibo Liu
Last updated:
Fri, 08/02/2024 - 01:26
DOI:
10.21227/vxhx-4a06
Data Format:
pcd files
License:
Creative Commons Attribution
435 Views
Categories:
Artificial Intelligence
Keywords:
Point Cloud Registration; Livox LiDAR
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Abstract 

Livox-3DMatch contains 11 scenes with 33 scans. Livox-3DMatch augments the original 3DMatch training data from 14,400 pairs to 17,700 pairs (a 22.91% increase). By training on this augmented dataset, the performance of the SOTA learning-based method SGHR is improved by 2.90% on 3DMatch,4.29% on ETH, and 22.72% (translation) / 11.19% (rotation) on ScanNet.

Instructions: 

A detailed introduction is available in our GitHub repository: https://github.com/yorklyb/L-PR

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