Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34169
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dc.contributorDepartment of Computing-
dc.creatorHe, Z-
dc.creatorCao, J-
dc.creatorLiu, X-
dc.creatorTang, S-
dc.date.accessioned2014-12-19T07:09:28Z-
dc.date.available2014-12-19T07:09:28Z-
dc.identifier.urihttp://hdl.handle.net/10397/34169-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 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/).en_US
dc.rightsThe following publication He, Z.; Cao, J.; Liu, X.; Tang, S. Who Sits Where? Infrastructure-Free In-Vehicle Cooperative Positioning via Smartphones. Sensors 2014, 14, 11605-11628 is available at https://dx.doi.org/10.3390/s140711605en_US
dc.subjectIn-vehicle positioningen_US
dc.subjectOpportunistic sensingen_US
dc.subjectSignal processingen_US
dc.subjectSmartphone sensingen_US
dc.titleWho sits where? Infrastructure-free in-vehicle cooperative positioning via smartphonesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage11605en_US
dc.identifier.epage11628en_US
dc.identifier.volume14en_US
dc.identifier.issue7en_US
dc.identifier.doi10.3390/s140711605en_US
dcterms.abstractSeat-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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSensors, July 2014, v. 14, no. 7, p. 11605-11628-
dcterms.isPartOfSensors-
dcterms.issued2014-
dc.identifier.scopus2-s2.0-84903720613-
dc.identifier.pmid24984062-
dc.identifier.eissn1424-8220en_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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