An indoor navigation network considering walking habits and its generation algorithm

被引:0
|
作者
Han L. [1 ,2 ]
Zhou L. [1 ]
Gong C. [1 ]
Zhang A. [3 ]
机构
[1] College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao
[2] Key Laboratory of Geomatics and Digital Technology of Shandong Province, Qingdao
[3] College of Computer and Information Engineering, Xiamen Institute of Technology, Xiamen
关键词
Behavioral characteristics; Building plans; Indoor navigation; Indoor navigation network; Indoor topological model;
D O I
10.11947/j.AGCS.2022.20210065
中图分类号
学科分类号
摘要
An indoor navigation network is the basis of indoor path planning and navigation. The existing indoor navigation networks have some shortcomings such as unreasonable topological connection structure and unnatural geometric shape of generated paths. Accordingly, a novel indoor navigation network and its automatic generation algorithm are proposed in this paper according to the "short cut" behavioral characteristics formed by human beings for a long time and the security need of collision avoidance. The navigation network divides the indoor passable space into ordinary rooms and corridors. The network in one ordinary room is mapped as straight lines connecting the room node and the door nodes, and the corridor space with complex shape is subdivided into narrow corridor spaces and open corridor spaces according to spatial scale and convexity. The central axis of each narrow corridor space is taken as its corresponding route, and a complete graph is formed by connecting all door nodes and hatchway nodes in each open corridor space. Finally, door nodes are connected to the corridor route to form a complete indoor navigation network. The experimental results show that the proposed network model and its generating algorithm can reasonably partition the complex passable space according to indoor space scale and generate the navigation network structure consistent with spatial characteristics, which makes the shape of planned shortest paths more in line with human being's walking characteristics. © 2022, Surveying and Mapping Press. All right reserved.
引用
收藏
页码:729 / 738
页数:9
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