Indoor positioning and wayfinding systems: a survey
Author | Kunhoth J. |
Author | Karkar A.G. |
Author | Al-Maadeed, Somaya |
Author | Al-Ali A. |
Available date | 2022-05-19T10:23:09Z |
Publication Date | 2020 |
Publication Name | Human-centric Computing and Information Sciences |
Resource | Scopus |
Identifier | http://dx.doi.org/10.1186/s13673-020-00222-0 |
Abstract | Navigation systems help users access unfamiliar environments. Current technological advancements enable users to encapsulate these systems in handheld devices, which effectively increases the popularity of navigation systems and the number of users. In indoor environments, lack of Global Positioning System (GPS) signals and line of sight with orbiting satellites makes navigation more challenging compared to outdoor environments. Radio frequency (RF) signals, computer vision, and sensor-based solutions are more suitable for tracking the users in indoor environments. This article provides a comprehensive summary of evolution in indoor navigation and indoor positioning technologies. In particular, the paper reviews different computer vision-based indoor navigation and positioning systems along with indoor scene recognition methods that can aid the indoor navigation. Navigation and positioning systems that utilize pedestrian dead reckoning (PDR) methods and various communication technologies, such as Wi-Fi, Radio Frequency Identification (RFID) visible light, Bluetooth and ultra-wide band (UWB), are detailed as well. Moreover, this article investigates and contrasts the different navigation systems in each category. Various evaluation criteria for indoor navigation systems are proposed in this work. The article concludes with a brief insight into future directions in indoor positioning and navigation systems. |
Sponsor | This publication was supported by a Qatar University Collaborative High Impact Grant QUHI-CENG-18/19-1. The findings achieved herein are solely the responsibility of the authors. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of Qatar University. Acknowledgements |
Language | en |
Publisher | Springer |
Subject | Computer vision Global positioning system Radio frequency identification (RFID) Radio navigation Radio waves Ultra-wideband (UWB) Communication technologies Indoor navigation system Navigation and positioning Orbiting satellites Outdoor environment Pedestrian dead reckoning (PDR) Radiofrequency signals Technological advancement Indoor positioning systems |
Type | Article |
Issue Number | 1 |
Volume Number | 10 |
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