一种基于无人机载LiDAR点云的电力线安全距离判定算法  

A Power Line Security Distance Decision Algorithm Based on LiDAR Point Cloud of UAV

作　　者：韩宇 HAN Yu(Gansu Emergency Surveying and Mapping Engineering Research Center,Lanzhou Gansu 730000,China)

机构地区：[1]甘肃省应急测绘工程研究中心,甘肃兰州730000

出　　处：《北京测绘》2018年第9期1037-1040,共4页Beijing Surveying and Mapping

摘　　要：针对无人机电力巡检距离判定算法缺乏问题,本文提出了一种基于无人机LiDAR点云分类的安全距离判定算法,该法首先对LiDAR点云进行维度特征分类,然后将电力悬线方程改进为最小二乘法模型,并以分段的方法计算地物到电力悬线的空间距离。实验表明,本文提出的距离判定算法距离测量精度接近于全站仪测量精度,且算法鲁棒性较好,具有较低的时间复杂度,不失为一种高精度无人机载LiDAR点云电力线安全距离判定新方法。For the problem of lack of distance decision algorithm of a unmanned aerial vehicle（UAV）for power line inspection,this paper proposed a safe distance determination algorithm based on the LiDAR point clouds classification of a UAV,this method first did a classification based on the dimension features of LiDAR point clouds,and then improved the power suspension equation into the least square model,and calculated the distance from the ground objects to the power suspension by making serial segmental profile.The experiment showed that the distance measurement algorithm proposed in this paper is close to total station in the distance measurement accuracy,and the algorithm is robust and with a low time complexity,and it is a new method for determining the power line safety distance with hight precision by using a UAV LiDAR point cloud.

关 键 词：无人机遥感 电力巡检 影像分类 安全距离判定 全站仪 

分 类 号：P231[天文地球—摄影测量与遥感] P225[天文地球—测绘科学与技术]