Abstract

A lane line detection method based on adaptive thresholding of raster map is proposed for assisting driving by fitting lane lines in the process of automatic driving in ports. Firstly, the original laser point cloud is divided into regions of interest to retain the point clouds containing lane lines as well as to remove irrelevant point clouds. Secondly, the raster map is divided based on the intensity of the point cloud, and the ground points are filtered as well as the point cloud of the lane line part is retained. Then the lane lines are segmented by adaptive thresholding for the retained grid, and finally RANSAC is used to fit the lane lines. The experiments prove that the method can extract the lane line features well.

Details

Title
Vehicle-based LIDAR for Lane Line Detection
Author
Wang, Hangyan 1 ; Liu, Qinghua 2 ; Liu, Zhenfei 2 

 School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen , Fujian 361024 , China; Fujian Key Laboratory of Advanced Design and Manufacture for Bus Coach, Xiamen , Fujian 361024 , China; Fujian Collaborative Innovation Center for R&D of Coach and Special Vehicle, Xiamen , Fujian 361024 , China 
 School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen , Fujian 361024 , China 
First page
012012
Publication year
2023
Publication date
Oct 2023
Publisher
IOP Publishing
ISSN
17426588
e-ISSN
17426596
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2878338968
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.