Hybrid Filtering Method for Multisource Point Cloud Data of Maglev Tracks
In the simulation data processing of maglev tracks,the filtering and extraction of maglev track point cloud data is an important link.Thus,practical applications should adopt an efficient filtering method according to the characteristics of the maglev data to be extracted.The point cloud data objects of the maglev track primarily include the image data of the maglev track,which is obtained by Unmanned Aerial Vehicle(UAV)oblique photography and formed into dense point cloud data after 3D reconstruction,and the laser point cloud data,which is obtained by handheld lidar scanning of the maglev track.Based on the data characteristics of these point clouds and considering the complex scenes around the maglev track,the two types of point clouds are mixed and filtered.First,the octree downsampling method is used for laser point cloud data,which effectively reduces the order of magnitude of the point cloud data and saves running time.The Cloth Simulation Filtering(CSF)method is then used on the laser point cloud and dense point cloud data to filter the ground plane point cloud and retain the non-ground point cloud data,respectively.A Statistical Outlier Removal(SOR)filtering method is used to screen a large number of outliers.Based on the characteristics of the maglev track,point clouds outside the coordinate range are filtered through straight-through filtering.On the premise of not changing the structure of the maglev track,the experimental results show that the filtering rates of the proposed method are 86.15％and 64.76％for the octree-downsampled laser point cloud data and the dense point cloud data without octree downsampling,respectively.These two point cloud datasets have similar structural ranges after hybrid filtering and a number of point clouds of the same order of magnitude,which can be effective for methods such as feature extraction of point clouds in maglev orbits.
maglev trackmultisource point cloud dataoctree downsamplingCloth Simulation Filtering(CSF)Statistical Outlier Removal(SOR)filtering
万方数据
维普
