Detection of Side Wall Protrusions in Highway Tunnel Based on LiDAR

The detection of sidewall protrusions in highway tunnel is significant for the intelligent cleaning of tunnel walls. An automatic detection method for sidewall protrusions based on LiDAR in the scene of long curved tunnel walls is proposed in this paper. First, the ground point clouds are removed by...

Full description

Saved in:
Bibliographic Details
Published in:Chinese Automation Congress (Online) pp. 2879 - 2884
Main Authors: Jin, Jiaqi, Tan, Guanzheng, Xu, Degang
Format: Conference Proceeding
Language:English
Published: IEEE 25.11.2022
Subjects:
Automation
Clustering algorithms
Filtering
Filtering algorithms
improved DBSCAN algorithm
Laser radar
Point cloud compression
point cloud segmentation
protrusions detection
Road transportation
tunnel sidewall
ISSN:2688-0938
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The detection of sidewall protrusions in highway tunnel is significant for the intelligent cleaning of tunnel walls. An automatic detection method for sidewall protrusions based on LiDAR in the scene of long curved tunnel walls is proposed in this paper. First, the ground point clouds are removed by using cloth simulation filter (CSF) algorithm. Then, the obstacles point clouds are clustered by combining the region growing (RG) algorithm and the improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm. Finally, in order to separate wall protrusions and other obstacles, tunnel boundary is extracted by horizontally projecting the remaining point clouds after removing the ground point clouds. The experiments show that the proposed method in this paper can effectively detect the protrusions on the sidewall of the tunnel.
ISSN:2688-0938
DOI:10.1109/CAC57257.2022.10055748