An indoor navigation network considering walking habits and its generation algorithm

doi:10.11947/j.AGCS.2022.20210065

Abstract

Abstract: 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.

Key words: indoor navigation network, building plans, indoor topological model, behavioral characteristics, indoor navigation

CLC Number:

P208

HAN Litao, ZHOU Lijuan, GONG Cheng, ZHANG Aiguo. An indoor navigation network considering walking habits and its generation algorithm[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(5): 729-738.

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