Data processing platform for indoor localization framework

Kaczmarczyk, Václav; Kuchta, Radek; Kuchtova, Zdenka; Kadlec, Jaroslav; Bastan, Ondrej

doi:10.1016/j.ifacol.2018.07.111

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…Over the last few years, multiple technologies have emerged to provide positioning services to GNSS-denied environments [ 5 , 6 ], for instance, Bluetooth [ 7 ], IEEE 802.11 Wireless LAN (Wi-Fi) [ 8 ], Pseudolites [ 9 ], Ultra Wideband (UWB) [ 10 ], ultrasound [ 11 ], Visible Light Communication (VLC) [ 12 ], and ZigBee [ 13 ], among others. The technologies used most frequently for indoor localisation and positioning are Bluetooth Low Energy (BLE) [ 14 , 15 , 16 ] and Wi-Fi [ 8 , 17 , 18 , 19 ] for their availability, cost, usability, and scalability, among others. Although each of these technologies have strengths and weaknesses, none has emerged as an alternative to GNSS for indoor spaces.…”

Section: Introductionmentioning

confidence: 99%

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

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Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities. Data redundancy, scalability, and security, are among the key features offered by cloud platforms. Location-Based Services (LBS) often exploit cloud platforms to host positioning and localisation systems. This paper introduces a systematic review of current positioning platforms for GNSS-denied scenarios. We have undertaken a comprehensive analysis of each component of the positioning and localisation systems, including techniques, protocols, standards, and cloud services used in the state-of-the-art deployments. Furthermore, this paper identifies the limitations of existing solutions, outlining shortcomings in areas that are rarely subjected to scrutiny in existing reviews of indoor positioning, such as computing paradigms, privacy, and fault tolerance. We then examine contributions in the areas of efficient computation, interoperability, positioning, and localisation. Finally, we provide a brief discussion concerning the challenges for cloud platforms based on GNSS-denied scenarios.

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Section: Introductionmentioning

confidence: 99%

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The technologies employed most frequently for indoor positioning and localisation are Wi-Fi [22,23,24] and Bluetooth Low Energy (BLE) [25,26], due to their cost, availability, and the fact that many devices support them. Despite the multiple advantages provided by these technologies, a clear alternative to GNSS for indoor environments is yet to emerge.…”

Section: Introductionmentioning

confidence: 99%

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios

Quezada-Gaibor¹

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Data processing platform for indoor localization framework

Cited by 2 publications

References 5 publications

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Cloud-based Indoor Positioning Platform for Context-adaptivity in GNSS-denied Scenarios

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