InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping

InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping

Traditional LiDAR odometry (LO) systems mainly leverage geometric information obtained from the traversed surroundings to register lazer scans and estimate LiDAR ego-motion, while they may be unreliable in dynamic or degraded environments. This paper proposes InTEn-LOAM, a low-drift and robust LiDAR...

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Bibliographic Details
Main Authors: Shuaixin Li, Bin Tian, Xiaozhou Zhu, Jianjun Gui, Wen Yao, Guangyun Li
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
SLAM
LiDAR odometry
dynamic removal
point intensity
scan registration
Online Access:https://www.mdpi.com/2072-4292/15/1/242

Internet

https://www.mdpi.com/2072-4292/15/1/242

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