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Three-Dimensional Device-Free Localization for Vehicle

Device-free localization (DFL) is a promising technique which could provide localization information for a target without requiring an electronic device. With the development of the smart city and smart transportation, DFL could form part of a basic technique that could be used to track and localize...

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Detalles Bibliográficos
Autores principales: Wang, Manyi, Yang, Jiaxing, Huang, Binghua, Yang, Yuan, Xu, Yadong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374338/
https://www.ncbi.nlm.nih.gov/pubmed/32635663
http://dx.doi.org/10.3390/s20133775
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author Wang, Manyi
Yang, Jiaxing
Huang, Binghua
Yang, Yuan
Xu, Yadong
author_facet Wang, Manyi
Yang, Jiaxing
Huang, Binghua
Yang, Yuan
Xu, Yadong
author_sort Wang, Manyi
collection PubMed
description Device-free localization (DFL) is a promising technique which could provide localization information for a target without requiring an electronic device. With the development of the smart city and smart transportation, DFL could form part of a basic technique that could be used to track and localize roadside vehicles. In this paper, some algorithms for three-dimensional (3D) DFL for vehicle surveillance are developed, including statistical methods for data, a method for communication link selection, a novel method of communication link weight allocation and some other minor approaches to obtain the location and approximate size of a static vehicle, as a basic technique of moving vehicle detection. Then, an experimental system is designed. Through security monitoring wireless sensor networks (WSN), real-time vehicle characteristics (i.e., location and size) are calculated automatically and intuitively displayed through a heat map. Experiments are performed to validate the effect of the proposal and the accuracy of the localization and size estimation.
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spelling pubmed-73743382020-08-06 Three-Dimensional Device-Free Localization for Vehicle Wang, Manyi Yang, Jiaxing Huang, Binghua Yang, Yuan Xu, Yadong Sensors (Basel) Article Device-free localization (DFL) is a promising technique which could provide localization information for a target without requiring an electronic device. With the development of the smart city and smart transportation, DFL could form part of a basic technique that could be used to track and localize roadside vehicles. In this paper, some algorithms for three-dimensional (3D) DFL for vehicle surveillance are developed, including statistical methods for data, a method for communication link selection, a novel method of communication link weight allocation and some other minor approaches to obtain the location and approximate size of a static vehicle, as a basic technique of moving vehicle detection. Then, an experimental system is designed. Through security monitoring wireless sensor networks (WSN), real-time vehicle characteristics (i.e., location and size) are calculated automatically and intuitively displayed through a heat map. Experiments are performed to validate the effect of the proposal and the accuracy of the localization and size estimation. MDPI 2020-07-05 /pmc/articles/PMC7374338/ /pubmed/32635663 http://dx.doi.org/10.3390/s20133775 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Manyi
Yang, Jiaxing
Huang, Binghua
Yang, Yuan
Xu, Yadong
Three-Dimensional Device-Free Localization for Vehicle
title Three-Dimensional Device-Free Localization for Vehicle
title_full Three-Dimensional Device-Free Localization for Vehicle
title_fullStr Three-Dimensional Device-Free Localization for Vehicle
title_full_unstemmed Three-Dimensional Device-Free Localization for Vehicle
title_short Three-Dimensional Device-Free Localization for Vehicle
title_sort three-dimensional device-free localization for vehicle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374338/
https://www.ncbi.nlm.nih.gov/pubmed/32635663
http://dx.doi.org/10.3390/s20133775
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