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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Detalles Bibliográficos
Autores principales: Zhao, Ruibin, Pang, Mingyong, Liu, Caixia, Zhang, Yanling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427512/
https://www.ncbi.nlm.nih.gov/pubmed/30871057
http://dx.doi.org/10.3390/s19051248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427512/
https://www.ncbi.nlm.nih.gov/pubmed/30871057
http://dx.doi.org/10.3390/s19051248

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