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Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones

Seat-level positioning of a smartphone in a vehicle can provide a fine-grained context for many interesting in-vehicle applications, including driver distraction prevention, driving behavior estimation, in-vehicle services customization, etc. However, most of the existing work on in-vehicle position...

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Detalles Bibliográficos
Autores principales: He, Zongjian, Cao, Jiannong, Liu, Xuefeng, Tang, Shaojie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168505/
https://www.ncbi.nlm.nih.gov/pubmed/24984062
http://dx.doi.org/10.3390/s140711605
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author He, Zongjian
Cao, Jiannong
Liu, Xuefeng
Tang, Shaojie
author_facet He, Zongjian
Cao, Jiannong
Liu, Xuefeng
Tang, Shaojie
author_sort He, Zongjian
collection PubMed
description Seat-level positioning of a smartphone in a vehicle can provide a fine-grained context for many interesting in-vehicle applications, including driver distraction prevention, driving behavior estimation, in-vehicle services customization, etc. However, most of the existing work on in-vehicle positioning relies on special infrastructures, such as the stereo, cigarette lighter adapter or OBD (on-board diagnostic) adapter. In this work, we propose iLoc, an infrastructure-free, in-vehicle, cooperative positioning system via smartphones. iLoc does not require any extra devices and uses only embedded sensors in smartphones to determine the phones' seat-level locations in a car. In iLoc, in-vehicle smartphones automatically collect data during certain kinds of events and cooperatively determine the relative left/right and front/back locations. In addition, iLoc is tolerant to noisy data and possible sensor errors. We evaluate the performance of iLoc using experiments conducted in real driving scenarios. Results show that the positioning accuracy can reach 90% in the majority of cases and around 70% even in the worst-cases.
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spelling pubmed-41685052014-09-19 Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones He, Zongjian Cao, Jiannong Liu, Xuefeng Tang, Shaojie Sensors (Basel) Article Seat-level positioning of a smartphone in a vehicle can provide a fine-grained context for many interesting in-vehicle applications, including driver distraction prevention, driving behavior estimation, in-vehicle services customization, etc. However, most of the existing work on in-vehicle positioning relies on special infrastructures, such as the stereo, cigarette lighter adapter or OBD (on-board diagnostic) adapter. In this work, we propose iLoc, an infrastructure-free, in-vehicle, cooperative positioning system via smartphones. iLoc does not require any extra devices and uses only embedded sensors in smartphones to determine the phones' seat-level locations in a car. In iLoc, in-vehicle smartphones automatically collect data during certain kinds of events and cooperatively determine the relative left/right and front/back locations. In addition, iLoc is tolerant to noisy data and possible sensor errors. We evaluate the performance of iLoc using experiments conducted in real driving scenarios. Results show that the positioning accuracy can reach 90% in the majority of cases and around 70% even in the worst-cases. MDPI 2014-06-30 /pmc/articles/PMC4168505/ /pubmed/24984062 http://dx.doi.org/10.3390/s140711605 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
He, Zongjian
Cao, Jiannong
Liu, Xuefeng
Tang, Shaojie
Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones
title Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones
title_full Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones
title_fullStr Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones
title_full_unstemmed Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones
title_short Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones
title_sort who sits where? infrastructure-free in-vehicle cooperative positioning via smartphones
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168505/
https://www.ncbi.nlm.nih.gov/pubmed/24984062
http://dx.doi.org/10.3390/s140711605
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