一种从点云中自动提取桥梁边线的方法及系统
By employing an automated bridge edge extraction method that utilizes point cloud data for ring neighborhood filtering and iterative retrieval, the high risk and insufficient accuracy of manual measurement in bridge edge detection are resolved. This method achieves efficient and safe bridge edge extraction, making it suitable for various engineering projects.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA RAILWAY NO 2 ENG GROUP CO LTD
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for detecting bridge edge lines suffer from high risks and low efficiency due to manual measurement, as well as insufficient accuracy in manually extracting point cloud edge lines, making it difficult to meet the needs of refined construction.
This paper presents a method for automatically extracting bridge edges from point clouds. By using circular neighborhood filtering, noise removal, direction calculation and iterative retrieval, and utilizing elevation change detection and angle change detection, the method achieves automated bridge edge extraction.
It improves the efficiency and accuracy of bridge edge line extraction, eliminates safety hazards of high-altitude operations, ensures construction safety, provides intuitive and reliable data support, and is highly adaptable to various engineering projects.
Smart Images
Figure CN122089772B_ABST