An improved point cloud denoising method in adverse weather conditions based on PP-LiteSeg network

Reliable point cloud data (PCD) generated by LiDAR are crucial to perceiving surroundings when autonomous driving systems are a concern. However, adverse weather conditions can impact the detection range of LiDAR, resulting in a significant amount of noisy data that substantially deteriorates the qu...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Wenzhen Zhang, Ming Ling
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024-01-01
Subjects:	LiDAR Point cloud denoising Semantic segmentation Autonomous driving
Online Access:	https://peerj.com/articles/cs-1832.pdf