Generalized LiDAR Intensity Normalization and Its Positive Impact on Geometric and Learning-Based Lane Marking Detection

Light Detection and Ranging (LiDAR) data collected by mobile mapping systems (MMS) have been utilized to detect lane markings through intensity-based approaches. As LiDAR data continue to be used for lane marking extraction, greater emphasis is being placed on enhancing the utility of the intensity...

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Detalhes bibliográficos

Principais autores:	Yi-Ting Cheng, Yi-Chun Lin, Ayman Habib
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-09-01
Colecção:	Remote Sensing
Assuntos:	mobile mapping system LiDAR intensity correction intensity normalization lane marking extraction deep/transfer learning
Acesso em linha:	https://www.mdpi.com/2072-4292/14/17/4393
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