基于无人机LiDAR的铁路既有线测量新方法研讨
Discussion on New Methods of Railway Existing Line Measurement Based on UAV LiDAR
罗枫 1刘竹均 2王峰谷2
作者信息
- 1. 中铁二院工程集团有限责任公司,成都 610031;西南交通大学,成都 611731
- 2. 中铁二院工程集团有限责任公司,成都 610031
- 折叠
摘要
为解决当前铁路既有线测量中存在的效率低下和劳动强度大等问题,设计一种精细化的无人机LiDAR点云数据采集方案,并通过基于地面标靶点精确三维坐标纠正航迹的方法输出高精度点云,最后使用计算机程序辅以人工交互编辑提取并拟合既有线铁轨.实验表明,点云中提取的轨道平面和高程残差中误差均小于2 cm,可满足铁路既有线的测量需求.研究结果表明,采用该方法可实现对铁路轨道线形平面和高程的高精度提取,有效解决传统方法中存在的问题,同时也为相关领域的研究提供有价值的经验和参考.
Abstract
To solve the problems of the inefficiencies and high labor intensity present in current conventional railway line measurements,this paper selected suitable UAV LIDAR equipment and designed a refined UAV LIDAR point cloud data collection scheme.By employing a method that corrected flight paths using precise 3D coordinates based on ground targets,it generated high-precision point clouds as output.Subsequently,the paper utilized computer programs combined with manual interaction to edit,extract,and fit the existing railway tracks,which significantly enhanced the accuracy of data collection.The experimental results demonstrate that the proposed method can achieve a mean error of less than 2 cm in both the planar and elevation residuals of the extracted tracks,meeting the measurement needs of existing railway lines.Through the technical scheme,the paper achieved high-precision extraction of the railway track's plane and elevation,effectively solved the problems present in traditional methods,and offered a valuable experience and references for research in related fields.
关键词
既有线/无人机/LiDAR/轨道线形/位置提取/标靶/航迹纠正Key words
existing railways/UAV/LiDAR/track linear/position extraction/target/trajectory correction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据