A Meta-Review of Indoor Positioning Systems.
TLDR
This paper provides an introduction to IPS and the different technologies, techniques, and some methods commonly employed and serves as a guide for the reader to easily find further details on each technology used in IPS.Abstract:
An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years. The number of technologies, techniques, and approaches in general used in IPS proposals is remarkable. Such diversity, coupled with the lack of strict and verifiable evaluations, leads to difficulties for appreciating the true value of most proposals. This paper provides a meta-review that performed a comprehensive compilation of 62 survey papers in the area of indoor positioning. The paper provides the reader with an introduction to IPS and the different technologies, techniques, and some methods commonly employed. The introduction is supported by consensus found in the selected surveys and referenced using them. Thus, the meta-review allows the reader to inspect the IPS current state at a glance and serve as a guide for the reader to easily find further details on each technology used in IPS. The analyses of the meta-review contributed with insights on the abundance and academic significance of published IPS proposals using the criterion of the number of citations. Moreover, 75 works are identified as relevant works in the research topic from a selection of about 4000 works cited in the analyzed surveys.read more
Citations
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Proceedings Article
WiFi-SLAM Using G aussian Process Latent Variable Models
TL;DR: In this paper, the Gaussian Process Latent Variable Model (GPLVM) is used to reconstruct a topological connectivity graph from a signal strength sequence, which can be used to perform efficient WiFi SLAM.
Journal ArticleDOI
A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges
Aleksandr Ometov,Viktoriia Shubina,Lucie Klus,Justyna Skibinska,Salwa Saafi,Pavel Pascacio,Laura Flueratoru,Darwin Quezada Gaibor,Nadezhda Chukhno,Olga Chukhno,Asad Ali,Asma Channa,Ekaterina Svertoka,Ekaterina Svertoka,Waleed Bin Qaim,Raúl Casanova-Marqués,Raúl Casanova-Marqués,Sylvia Holcer,Sylvia Holcer,Joaquín Torres-Sospedra,Sven Casteleyn,Giuseppe Ruggeri,Giuseppe Araniti,Radim Burget,Jiri Hosek,Elena Simona Lohan +25 more
TL;DR: An extensive and diverse classification of wearables, based on various factors, a discussion on wireless communication technologies, architectures, data processing aspects, and market status, as well as a variety of other actual information on wearable technology are provided.
Proceedings Article
Wearables Can Afford: Light-weight Indoor Positioning with Visible Light (Best Paper Candidate, Best Video Presentation Award)
TL;DR: The polarization-based modulation, which is flicker-free, is proposed, to enable a low pulse rate VLC, which makes VLP light-weight enough even for resource-constrained wearable devices, e.g. smart glasses.
Journal ArticleDOI
A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision.
Anca Morar,Alin Moldoveanu,Irina Mocanu,Florica Moldoveanu,Ion Emilian Radoi,Victor Asavei,Alexandru Gradinaru,Alexandru Butean +7 more
TL;DR: An overview of the computer vision based indoor localization domain is offered, presenting application areas, commercial tools, existing benchmarks, and other reviews, and proposing a new classification based on the configuration stage (use of known environment data), sensing devices, type of detected elements, and localization method.
Journal ArticleDOI
Machine Learning Based Indoor Localization Using Wi-Fi RSSI Fingerprints: An Overview
TL;DR: In this paper, a survey of ML-based Wi-Fi RSSI fingerprinting schemes, including data preprocessing, data augmentation, ML prediction models for indoor localization, and postprocessing in ML, and compare their performance.
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