一种基于路缘特征的点云道路边界提取方法

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英文篇名：A Road Boundary Extraction Method from Point Clouds Based on Curb Features 作者：马新江 ; 刘如飞 ; 蔡永宁 ; 王鹏 英文作者：MA Xinjiang;LIU Rufei;CAI Yongning;WANG Peng;Geomatics College,Shandong University of Science and Technology;Jinan Geotechnical Investigation and Surveying Research Institute; 关键词：车载激光扫描 ; 点云 ; 道路边界 ; 路缘石 ; 特征描述算子 英文关键词：vehicle-borne laser scanning;;point cloud;;road boundary;;curb;;feature description operator 中文刊名：遥感信息 英文刊名：Remote Sensing Information 机构：山东科技大学测绘科学与工程学院;济南市勘察测绘研究院; 出版日期：2019-04-20 出版单位：遥感信息 年：2019 期：02 基金：国家重点研发计划(2016YFB0501705);; 国家基础测绘科技计划(2016KJ0101);; 山东科技大学人才引进科研启动基金(2016RCJJ004) 语种：中文; 页：83-88 页数：6 CN：11-5443/P ISSN：1000-3177 分类号：P208;P225.2

摘要

针对车载激光点云中道路边界提取不精确、复杂度高等问题,提出一种基于路缘特征的城市道路边界自动提取方法。首先对点云进行平面规则格网投影,根据测量车行驶轨迹点进行高程过滤,保留地面和路缘石等近地面点云;然后分析路缘石的空间邻域特征,构建路缘石特征描述算子,自动识别不同类型的路缘石边界;最后通过路缘石连续分布特性进行聚类去噪处理,获取精确的道路边界点云。以车载移动测量系统获取的某段道路点云数据为例进行实验,验证了该方法的可行性和有效性。
        Aiming at the problems that road boundary results are inaccurate in vehicle laser point clouds,and the extraction process is highly complex,this paper proposes a new method to automatically extract urban road boundaries based on curb features for vehicle-borne laser scanning point clouds.Firstly,it projects the point clouds onto regular grids of planes,and it carries out elevation filtering according to the measurement vehicle traveling track points and keeps near ground points such as ground,curb and so on.Then,it analyzes the spatial neighborhood features of curbs and constructs the curb feature description operator to automatically recognize the different types of curb boundaries.Finally,it gets the precise road boundary by clustering and denoising using the continuous distribution of curbs.Some road point clouds data provided by Vehicle Survey System are used in the experiment.The experimental results show the feasibility and effectiveness of the proposed method.

引文

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