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地面与车载激光点云在地下车库测图中的融合应用
引用本文:刘凤珠,杨应,杨伯钢,张攀科.地面与车载激光点云在地下车库测图中的融合应用[J].测绘通报,2020,0(4):47-52.
作者姓名:刘凤珠  杨应  杨伯钢  张攀科
作者单位:1. 北京市测绘设计研究院, 北京 100038;2. 城市空间信息工程北京市重点实验室, 北京 100038;3. 国家基础地理信息中心, 北京 100830;4. 北京四维远见信息技术有限公司, 北京 100039
基金项目:北京市科委科技计划课题项目(D171100007417003)
摘    要:地下空间利用日益受到人们关注,地下空间测量受诸多因素的影响,如地下空间无GPS信号、遮挡物较多、传统手段效率低等问题。针对这一问题,本文提出了一种融合车载激光扫描系统和地面三维激光扫描的数据获取方案。该方案首先利用地面三维激光扫描和车载移动激光扫描的优势,采用一种多源点云数据融合技术,高效地获取了地下空间的完整点云数据;然后通过地下车库数据采集试验,验证了该方案的有效性和可靠性,为今后大范围开展地下空间测图提供技术支持。

关 键 词:地面激光扫描  车载激光扫描  室内三维  室内测图  数据融合  
收稿时间:2019-07-25

Fusion application of ground and vehicle laser point cloud in underground garage mapping
LIU Fengzhu,YANG Ying,YANG Bogang,ZHANG Panke.Fusion application of ground and vehicle laser point cloud in underground garage mapping[J].Bulletin of Surveying and Mapping,2020,0(4):47-52.
Authors:LIU Fengzhu  YANG Ying  YANG Bogang  ZHANG Panke
Institution:1. Beijing Institute of Surveying and Mapping, Beijing 100038, China;2. Beijing Key Laboratory of Urban Spatial Information Engineering, Beijing 100038, China;3. National Geomatics Center of China, Beijing 100830, China;4. Beijing Geo-Vision Tech. Co., Ltd., Beijing 100039, China
Abstract:Underground space utilization has attracted more and more people’s attention. Underground space measurement is affected by many factors, such as the lack of GPS signals in the underground space, more obstructions, and low efficiency of traditional methods. To solve this problem, this paper proposes a data acquisition scheme combining on-board laser scanning system and ground 3D laser scanning. This scheme can effectively utilize the advantages of ground 3D laser scanning and vehicle mobile laser scanning, and adopt a multi-source point cloud data. Fusion technology to efficiently acquire complete point cloud data in underground space. Finally, through the underground garage data collection experiment, the effectiveness and reliability of the scheme are verified, and provide technical support for the future extensive development of underground space mapping.
Keywords:ground laser scanning  mobile laser scanning  indoor three-dimensional  indoor mapping  data fusion  
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