摘要
导航路网是实现室内定位与导航服务的关键。现有室内路网生成方法成本较高,且依赖于室内建筑CAD图纸或室内二维平面图等先验知识,数据获取过程繁琐。提出一种服务于室内导航与定位的基础路网模型,利用Project Tango设备采集路网模型所需原始数据,经过细粒度划分得到室内空间适应性导航路网。实验证明,该方法可在面向未知环境时,可更快速、高效地获取较高精度的室内导航路网,且成本更低。
In the application of indoor space positioning and navigation services,the navigation network is the key to realize indoor po-sitioning and navigation services. At present,the method of generating indoor network is costly and relies on prior knowledge(such as indoor architectural CAD drawings or indoor two-dimensional plan),and the data acquisition process is cumbersome. This paper pro-poses a basic network model for indoor navigation and positioning,and uses Project Tango equipment to collect the original data needed for the network model,and obtains an adaptive navigation network for indoor space after f*87ine-grained division. The experiment proves that the method can realize the indoor navigation network with higher precision and faster and more efficient,and the cost is lower.
作者
丁磊
蔡德成
DING Lei;CAI De-cheng(Faculty of Information Engineering,China University of Geosciences,Wuhan 430074,China)
出处
《软件导刊》
2019年第6期46-51,共6页
Software Guide
基金
国家重点研发计划专项项目(111-KZ16KA0043)
国家级大学生创新创业训练计划项目(201710491071)
