公路路面LiDAR数据空洞插补的MLSPF方法  

MLSPF Method for cavity interpolation for LiDAR data of highway pavement

作　　者：刘嘉煌 邓兴升[1] LIU Jiahuang;DENG Xingsheng(School of Transportation Engineering,Changsha University of Technology,Changsha 410114,China)

机构地区：[1]长沙理工大学交通运输工程学院,长沙410114

出　　处：《测绘工程》2023年第6期44-53,共10页Engineering of Surveying and Mapping

基　　金：湖南省自然科学基金资助项目(2020JJ4601);公路工程教育部重点实验室开放基金资助项目(KFJ190203)。

摘　　要：数字交通发展要求开展公路路面数字化,路面数字化主要采用车载或机载激光扫描,但由于遮挡等原因,路面扫描容易产生大小不一的数据空洞。为了处理激光扫描点云数据中空洞,文中提出公路路面空洞插补的移动最小二乘平面拟合方法,即将公路细分为许多格网区域,并视单个格网近似为平面,采用格网内实测点云拟合最佳平面方程,由平面方程插值完成公路路面数据空洞的填补,获得路面数字化初步模型。开展大量实验研究,并与具有代表性的最近邻插值法、克里金插值法、反距离加权插值等算法进行对比,结果表明本方法在计算效率与精度等两个方面都具有优势,是一种可行可靠的方法。The development of digital traffic requires road surface digitization,which mainly adopts on-board or airborne laser scanning,However,due to occlusion and other reasons,road surface scanning is prone to generate data holes of different sizes.Based on the laser scanning point cloud data,this paper proposes a moving least square plane fitting method for highway pavement cavity interpolation,that is,the highway is subdivided into small areas,which are regarded as approximate planes.The measured point cloud in the area is used to fit the best plane equation,and the plane equation interpolation is used to complete the filling of highway pavement data cavities,so as to obtain the preliminary digital model of the pavement.A large number of experiments were carried out,and compared with the representative nearest neighbor interpolation,Kriging interpolation,inverse distance weighted interpolation and other algorithms,the experimental results show that the method in this paper has advantages in computational efficiency and accuracy,and is a feasible and reliable method.

关 键 词：数字路面模型 LIDAR数据 空间插值 移动最小二乘平面拟合 

分 类 号：P23[天文地球—摄影测量与遥感] TN958.98[天文地球—测绘科学与技术]