%0 Journal Article
%T 铁路隧道点云数据特征提取及侵限检测<br>Feature Extraction and Limit Intrusion Detection of Railway Tunnel Point Cloud Data
%A 韩军
%J Hans Journal of Civil Engineering
%P 329-339
%@ 2326-3466
%D 2021
%I Hans Publishing
%R 10.12677/HJCE.2021.104037
%X 本文利用三维激光扫描仪对内蒙古某铁路隧道段进行隧道点云测量，首先对三维激光扫描仪的测距精度进行实验分析，随后基于隧道点云数据，实现了对铁路钢轨、隧道横断面等隧道点云特征的快速提取。再基于钢轨轨面点云建立限界检测坐标系，实现了隧道的限界检测，对铁路设施维护与铁路运营安全有较为重要的实际意义。<br />
This paper uses a three-dimensional laser scanner to measure the tunnel point cloud of a railway tunnel section in Inner Mongolia. First, the distance measurement accuracy of the three-dimensional laser scanner is analyzed experimentally. Then, based on the point cloud data, this paper realizes the rapid extraction of the point cloud features of railway rails and tunnel cross-sections. Based on the point cloud of the rail surface, the boundary detection coordinate system is established to realize the boundary detection of the tunnel, which has relatively important practical significance for the maintenance of railway facilities and the safety of railway operations.
%K 点云，特征提取，限界<br>Point Cloud
%K Feature Extraction
%K Boundary
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=41945