Open AccessApplication of Visible Image and LiDAR Point Cloud Fusion Technology in Distribution Network Tree Barrier Inspection
Author(s) -
Wu Jinqiu,
Liu Hanjun,
Yang Jiakai,
Yuhao Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1639/1/012012
Subject(s) - point cloud , lidar , computer science , remote sensing , computer vision , tree (set theory) , artificial intelligence , data set , point (geometry) , image (mathematics) , laser , geography , optics , mathematics , physics , geometry , mathematical analysis
Aiming at the problems of poor visual effect and low accuracy of single use of LiDAR or visible light camera for tree barriers inspection in distribution corridors, the LiDAR point cloud data and visible light image data are obtained simultaneously through UAV carrying integrated system. First, the LiDAR point cloud data are de-noised, filtered and classified, and the ground and non-ground laser point clouds are separated. Then, the laser point cloud data and visible image data are set up in the same coordinate system by coordinate conversion. Then, the spectral information of visible image is assigned to the corresponding point cloud, and the 3D real scene image of point cloud is reproduced to realize the function of identifying and analyzing the hidden trouble of distribution corridor tree barrier. It greatly improves the accuracy and efficiency of tree barriers hidden trouble inspection, and the visual effect is intuitive.