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作 者:傅梦颖 王培晓 张恒才[3] 吴升[1,2] FU Mengying;WANG Peixiao;ZHANG Hengcai;WU Sheng(Fujian Spatial Information Engineering Research Center,Fuzhou University,Fuzhou 350002,China;Haixi Government Big Data Application Cooperative Innovation Center,Fuzhou 350002,China;State Key Laboratory of Resources and Environment Information System,Institute of GeographicSciences and Resources,Chinese Academy of Sciences,Beijing 100101,China)
机构地区:[1]福州大学福建省空间信息工程研究中心,福建福州350002 [2]海西政务大数据应用协同创新中心,福建福州350002 [3]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室,北京100101
出 处:《测绘科学技术学报》2019年第1期100-104,共5页Journal of Geomatics Science and Technology
基 金:国家重点研发计划项目(2016YFB0502104);国家自然科学基金面上项目(41771436);数字福建建设项目(闽发改网数字函[2016]23号)
摘 要:室内导航网络是室内位置服务的基础,传统人工测绘或基于CAD半自动提取等方法时效性较差。室内移动对象众包轨迹数据的出现为室内导航网络构建提供了一种新的解决方案。提出一种室内导航网络众包构建方法。首先提取出用于构建室内导航网络的廊道区域轨迹点;其次通过轨迹点生长融合聚类算法将廊道轨迹点转化为聚类点;最后通过聚类点连接生成室内导航网络。以某商城一楼2d的移动对象轨迹数据进行了实验。结果表明,本文方法提取的室内导航网络准确度较高,能够为室内空间结构快速变化检测和更新提供支持。Indoor navigation network is the basis of indoor location service.Traditional manual mapping or semi-automatic extraction based on CAD are not efficient.The emergence of crowdsourcing trajectory data for indoor mobile objects provides a new solution for the construction of indoor navigation network.A crowdsourcing method for indoor navigation network is presented in the paper.Firstly,the corridor trajectory points are extracted to construct the indoor navigation network.Secondly,the corridor trajectory points are transformed into clustering points by the fusion clustering algorithm of trajectory point growth.Finally,the indoor navigation network is generated by the connection of clustering points.The experiment was carried out with the trajectory data of moving objects on the first floor of a shopping mall for two days.The results show that the accuracy of road network extracted by using this method is high,and the experimental results can provide data support for rapid change detection and update of indoor spatial structure.
关 键 词:移动对象轨迹 轨迹停留点 生长融合聚类 导航网络 室内
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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