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基于凸包算法和抗差最小二乘法的激光扫描仪圆形标靶中心定位
引用本文:何华,李宗春,阮焕立,付永健.基于凸包算法和抗差最小二乘法的激光扫描仪圆形标靶中心定位[J].测绘工程,2018(3):20-24.
作者姓名:何华  李宗春  阮焕立  付永健
作者单位:信息工程大学 地理空间信息学院,河南 郑州,450001
基金项目:国家自然科学基金资助项目,航天器高精度测量联合实验室基金资助项目
摘    要:针对激光扫描仪圆形平面标靶点云数据缺失或冗余时不易准确获取标靶中心的问题,提出一种稳健的中心定位算法。首先根据回光强度提取标靶点云数据;然后剔除标靶点云数据粗差点,拟合标靶的最佳平面;接着利用凸包算法提取标靶边缘点;最后利用抗差最小二乘求解标靶的中心坐标。实验表明,该算法定位精度能达到亚毫米级,可以有效解决标靶数据缺失或者冗余时标靶定位精度低的问题,提高标靶的中心定位的稳健性。

关 键 词:抗差最小二乘  凸包算法  中心定位  平面标靶  平面拟合  robust  least  squares  convex  hull  algorithm  center  location  planar  target  plane  fitting

Center location of circular target for TLS based on convex hull algorithm and robust least squares algorithm
HE Hua,LI Zongchun,RUAN Huanli,FU Yongjian.Center location of circular target for TLS based on convex hull algorithm and robust least squares algorithm[J].Engineering of Surveying and Mapping,2018(3):20-24.
Authors:HE Hua  LI Zongchun  RUAN Huanli  FU Yongjian
Abstract:To solve the problem which is hard to acquire the accurate center of target when the point cloud is missing or redundant on the circular plane target of laser scanner,a robust center location algorithm is presented.Firstly,the point cloud of planar target is extracted based on return light intensity.Secondly, the noise points are eliminated and the best fitting planar is calculated.Thirdly,edge points are extracted based on convex hull algorithm.Finally,the coordinates of target center are calculated based on robust least squares algorithm.Experiments show that the locating precision of this algorithm is under millimeter and its efficiency is higher than Reference8],w hich can also ensure the locating precision w hen the point cloud of planar target is missing or redundant,and improve the robustness of center location.
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