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中南大学学报(英文版)

Journal of Central South University

Vol. 27    No. 7    July 2020

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Automated extraction of expressway road surface from mobile laser scanning data
TRAN Thanh Ha, TAWEEP Chaisomphob

School of Civil Engineering and Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathumthani 12121, Thailand

Abstract:This paper presents a voxel-based region growing method for automatic road surface extraction from mobile laser scanning point clouds in an expressway environment. The proposed method has three major steps: constructing a voxel model; extracting the road surface points by employing the voxel-based segmentation algorithm; refining the road boundary using the curb-based segmentation algorithm. To evaluate the accuracy of the proposed method, the two-point cloud datasets of two typical test sites in an expressway environment consisting of flat and bumpy surfaces with a high slope were used. The proposed algorithm extracted the road surface successfully with high accuracy. There was an average recall of 99.5%, the precision was 96.3%, and the F1 score was 97.9%. From the extracted road surface, a framework for the estimation of road roughness was proposed. Good agreement was achieved when comparing the results of the road roughness map with the visual image, indicating the feasibility and effectiveness of the proposed framework.

 

Key words: mobile laser scanning; segmentation; road surface; expressway; voxelization; point cloud

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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