Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/34169
Title: | Who sits where? Infrastructure-free in-vehicle cooperative positioning via smartphones | Authors: | He, Z Cao, J Liu, X Tang, S |
Issue Date: | 2014 | Source: | Sensors, July 2014, v. 14, no. 7, p. 11605-11628 | Abstract: | 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. | Keywords: | In-vehicle positioning Opportunistic sensing Signal processing Smartphone sensing |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sensors | EISSN: | 1424-8220 | DOI: | 10.3390/s140711605 | 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/). The 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/s140711605 |
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