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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...

詳細記述

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書誌詳細
出版年:Sensors (Basel)
主要な著者: Zhao, Ruibin, Pang, Mingyong, Liu, Caixia, Zhang, Yanling
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6427512/
https://ncbi.nlm.nih.gov/pubmed/30871057
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19051248
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