铁道科学与工程学报2024，Vol.21Issue(7)：2804-2814,11.DOI:10.19713/j.cnki.43-1423/u.T20231517
地面激光扫描点云与无人机影像点云融合应用
Integration application of terrestrial laser scanner point clouds and unmanned aerial vehicle image point clouds
摘要
Abstract
This study was to establish a high-precision 3D point cloud model of bridges,inspect bridge health conditions,and fit and draw the bridge geometry.Firstly,close-range photography,orbiting flights,and grid flights with drones were employed to acquire detailed texture data of a certain large twin-line bridge.Subsequently,the data collected from different flight routes were processed in context capture software for 3D reconstruction,merging the main and detailed images to generate a comprehensive bridge point cloud 1.The Trimble SX12 instrument was used for integrated scanning of the entire bridge,obtaining a complete bridge point cloud 2.An iterative closest Point(ICP)algorithm based on a bi-directional KD-tree optimization was proposed to register and merge the drone-surveyed bridge point cloud 1 with the terrestrial laser-scanned bridge point cloud data 2.The encrypted bridge point cloud was then used to establish a refined 3D realistic model of the operational twin-line bridge for railways.Additionally,a Principal Component Analysis(PCA)algorithm based on KD-tree was introduced to extract the suspension point cloud of the bridge.The least squares method was applied to fit the bridge arch axis alignment,and the RANSAC algorithm was used to fit the bridge deck profile.Validation of the effectiveness of the fusion modeling was conducted through comparative analysis with the accuracy and completeness of single unmanned aerial vehicle(UAV)and terrestrial laser scanning.The results indicate that the horizontal accuracy of the fusion model is 1.71 cm.The vertical accuracy is 1.25 cm.This represents an improvement of 16.59%in the horizontal direction and 20.89%in the vertical direction compared to the accuracy of the single UAV modeling.The completeness of the fusion model is 98.17%,providing a more realistic texture effect.The model can identify bridge pier conditions,such as honeycomb surface and water seepage,as well as arch rib issues like painted rust and cracks.This study can provide valuable insights and references for the application research of 3D point cloud models for bridges,demonstrating promising prospects.关键词
运营铁路桥梁线形/倾斜摄影测量/地面激光扫描/点云数据融合/桥梁病害检测Key words
operating railway bridge alignment/oblique photogrammetric survey/terrestrial laser scanning/point cloud data fusion/bridge defect detection分类
天文与地球科学引用本文复制引用
彭仪普,李剑,邹魁,汤致远,李子超,韩衍群..地面激光扫描点云与无人机影像点云融合应用[J].铁道科学与工程学报,2024,21(7):2804-2814,11.基金项目
湖南省自然科学基金资助项目(2019JJ40385) （2019JJ40385）
国家自然科学基金资助项目(52078499,52378424) （52078499,52378424）
中国中铁股份有限公司科技研究开发计划(2020-重点-09) （2020-重点-09）
