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AuthorKunhoth J.
AuthorKarkar A.G.
AuthorAl-Maadeed, Somaya
AuthorAl-Ali A.
Available date2022-05-19T10:23:09Z
Publication Date2020
Publication NameHuman-centric Computing and Information Sciences
ResourceScopus
Identifierhttp://dx.doi.org/10.1186/s13673-020-00222-0
URIhttp://hdl.handle.net/10576/31110
AbstractNavigation 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.
SponsorThis 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
Languageen
PublisherSpringer
SubjectComputer 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
TitleIndoor positioning and wayfinding systems: a survey
TypeArticle
Issue Number1
Volume Number10
dc.accessType Abstract Only


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