摘要
针对室内移动测图系统在数据获取过程中出现的部分区域密度不足及缺失的问题,提出一种室内移动与地面定点激光扫描技术相结合的室内精细点云数据获取方法.首先以里程计与惯性导航结合的室内定位技术为基础,集成室内移动测图系统并快速获取室内三维数据;再结合地面定点激光扫描技术在点云数据密度获取上的优势,增补点云稀疏及缺失区域的数据,并进一步完成两种不同扫描方式点云数据的配准;最后通过三维建模和误差分析实验验证该方法有效可行.结果表明,室内移动测图系统能快速且高精度地获取室内三维数据;通过室内移动与地面定点两种扫描方式的结合,在一定程度上解决了数据密度不足及缺失的问题,从而提高了建筑物室内精细点云建模的可靠性与完整性.
An indoor point clouds data acquisition and application method based on the integration of indoor mobile and terrestrial laser scanning technology is proposed,in order to solve problems in data acquisition of indoor mobile mapping systems,such as some important areas but with insufficient density or missing data.Firstly,the indoor mobile mapping systems was integrated for quickly obtaining the indoor three-dimensional(3D)laser point clouds,based on the indoor localization technology combined with odometer and inertial navigation.Then,the advantages of terrestrial laser scanning technology,which is superiority on the density of the point clouds,is taken for completing data registration between the indoor mobile and terrestrial laser scanning system.The effectiveness of the proposed method is experimentally verified by 3D modeling and error analysis.The experimental results show that the method could obtain the refined point clouds data quickly and solve the problems of less data density and missing data effectively,accordingly improving the reliability and integrity of model building of indoor refined point clouds.
作者
莫悠
钟若飞
张振鑫
MO You;ZHONG Ruo-fei;ZHANG Zhen-xin(Beijing Advanced Innovation Center for Imaging Technology,Capital Normal University,Beijing 100048,China;College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China;Key Laboratory of 3D Information Acquisition and Application Ministry of Education,Capital Normal University,Beijing 100048,China)
出处
《应用科学学报》
CAS
CSCD
北大核心
2018年第5期756-764,共9页
Journal of Applied Sciences
基金
国家自然科学基金(No.41371434)资助
关键词
室内移动测图技术
点云配准
误差分析
三维建模
indoor mobile mapping technology
point clouds registration
error analysis,three-dimensional(3D)modeling
