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A Method for Extracting Main-Structure Point Clouds of Railway Overhead Contact Systems Based on Regional Geometric Representation and Cross-Dimensional Progressive Constraints
编号：162 访问权限：仅限参会人 更新：2026-10-19 18:03:45 浏览：20次 张贴报告

报告开始：暂无开始时间（Asia/Shanghai）

报告时间：暂无持续时间

所在会场：[暂无会议] [暂无会议段]

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摘要
Abstract—An unsupervised method is proposed to extract the main-structure point cloud of a railway overhead contact system (OCS) from mobile laser scanning data in which tunnel walls, masts, and scattered background points are intermingled with slender OCS components. First, tunnels and open-air sections are partitioned using the y-direction span of longitudinal slices and the XOY convex-hull area of their lower-side points, enabling region-specific background filtering. A 10-millimeter voxel skeleton is then processed by DBSCAN, largest-XOY-convex-hull screening, and recursive three-dimensional KD-tree distance filtering to identify the main cluster, after which the labels are mapped back to the original point cloud. Tests on six files from two railway lines achieved micro-averaged precision, recall, F1 score, and intersection over union of 99.77%, 97.61%, 98.68%, and 97.40%, respectively. The retention rates of the main catenary, fine structures, and cantilevers were 99.63%, 99.81%, and 87.02%, respectively. The results show that the method suppresses complex backgrounds while retaining fine structures without training samples, thereby providing a reliable main-structure point cloud for subsequent OCS geometric-parameter computation.
 
关键词
Electrified railway,overhead contact system,mobile laser scanning,point cloud extraction,regional geometric representation,cross-dimensional constraints,unsupervised method
报告人
Yicheng Xiang
Master’s Student Southwest Jiaotong University

稿件作者
Yicheng Xiang Southwest Jiaotong University
Jinfa Guan Southwest Jiaotong University
Junqing Chen Southwest Jiaotong University
Chenlin Xu Southwest Jiaotong University
Jiayu Fu Southwest Jiaotong University
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重要日期

  • 会议日期

    11月06日

    2026

    至

    11月08日

    2026

  • 10月15日 2026

    初稿截稿日期

  • 11月10日 2026

    注册截止日期

主办单位
IEEE Instrumentation and Measurement Society
承办单位
Sichuan University
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