A Fast Registration Method for MEMS LiDAR Point Cloud Based on Self-Adaptive Segmentation

A Fast Registration Method for MEMS LiDAR Point Cloud Based on Self-Adaptive Segmentation

The Micro-Electro-Mechanical System (MEMS) LiDAR point cloud in autonomous vehicles has a large deflection range, which results in slow registration speed and poor applicability. To maximize speed, an improved Normal Distribution Transform (NDT) method that integrates point cloud density features ha...

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Bibliographic Details
Main Authors: Xuemei Li, Bin Liu, Shangsong Lv, Min Li, Chengjie Liu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Electronics
Subjects:
automatic vehicle
MEMS LiDAR
point cloud registration
self-adaptive segmentation model
SSM-NDT algorithm
Online Access:https://www.mdpi.com/2079-9292/12/19/4006

Internet

https://www.mdpi.com/2079-9292/12/19/4006

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