Navigation network derivation for QR code‐based indoor pedestrian path planning

• DOI: 10.1111/tgis.12912
• Publication Date: 2022-04-11T05:59:04Z
• Authors: Jinjin Yan; Jinwoo (Brian) Lee; Sisi Zlatanova; Abdoulaye A. Diakité; Hyun Kim
• Keywords: anzsrc-for: 3709 Physical Geography and Environmental Geoscience; anzsrc-for: 0804 Data Format; anzsrc-for: 3704 Geoinformatics; 0211 other engineering and technologies; 37 Earth Sciences; anzsrc-for: 37 Earth Sciences; 02 engineering and technology; 3709 Physical Geography and Environmental Geoscience; 004; 620; anzsrc-for: 1604 Human Geography; 3704 Geoinformatics; anzsrc-for: 0909 Geomatic Engineering

AbstractWith the development of cities, the indoor structures of contemporary public or commercial buildings are becoming increasingly complex. Accordingly, the need for indoor navigation has arisen. Among the indoor positioning technologies, quick response (QR) code, a low‐cost, easily deployable, flexible, and efficient approach, has been used for indoor positioning and navigation purposes. A navigation network (model) is a precondition for pedestrian navigation path planning. However, no thorough research has been completed to investigate the relationship between navigation networks and locations of QR codes, which may cause ambiguities when deciding the closest node from the network that should be used for path computation. Specifically, QR codes are generally placed according to preferences or certain specifications whereas current agreed navigation network derivation approaches do not consider that. This article presents a navigation network derivation approach to address the issue by integrating QR code locations as nodes in navigation networks. The present approach is demonstrated in a shopping mall case. The results show that the approach can overcome the above‐mentioned issue for indoor pedestrian path planning based on the QR code localization.