Robust Normal Estimation for 3D LiDAR Point Clouds in Urban Environments

Normal estimation is a crucial first step for numerous light detection and ranging (LiDAR) data-processing algorithms, from building reconstruction, road extraction, and ground-cover classification to scene rendering. For LiDAR point clouds in urban environments, this paper presents a robust method...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Ruibin Zhao, Mingyong Pang, Caixia Liu, Yanling Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2019-03-01
Subjects:	LiDAR point cloud robust normal estimation segmentation urban environments
Online Access:	http://www.mdpi.com/1424-8220/19/5/1248