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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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Principais autores: Yi-Ting Cheng, Yi-Chun Lin, Ayman Habib
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-09-01
Serier:Remote Sensing
Fag:
mobile mapping system
LiDAR
intensity correction
intensity normalization
lane marking extraction
deep/transfer learning
Online adgang:https://www.mdpi.com/2072-4292/14/17/4393
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