Intensity Thresholding and Deep Learning Based Lane Marking Extraction and Lane Width Estimation from Mobile Light Detection and Ranging (LiDAR) Point Clouds

Intensity Thresholding and Deep Learning Based Lane Marking Extraction and Lane Width Estimation from Mobile Light Detection and Ranging (LiDAR) Point Clouds

Lane markings are one of the essential elements of road information, which is useful for a wide range of transportation applications. Several studies have been conducted to extract lane markings through intensity thresholding of Light Detection and Ranging (LiDAR) point clouds acquired by mobile map...

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Bibliographic Details
Main Authors: Yi-Ting Cheng, Ankit Patel, Chenglu Wen, Darcy Bullock, Ayman Habib
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Remote Sensing
Subjects:
lane marking extraction
lane width estimation
intensity normalization
deep learning
mobile mapping systems
automated labeling
Online Access:https://www.mdpi.com/2072-4292/12/9/1379

Internet

https://www.mdpi.com/2072-4292/12/9/1379

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