Title: An intelligent driver location system for smart parking
Authors: Lan, Kun-Chan
Shih, Wen-Yuah
Department of Computer Science
Keywords: Pedestrian dead reckoning;Simple harmonic motion;ZUPT;Map matching;Floor plan;Smart parking
Issue Date: 1-Apr-2014
Abstract: It is often frustrating for drivers to find parking spaces, and parking itself is costly in almost every major city in the world. Here we propose a crowdsourcing solution by exploiting sensors in smart-phones to collect real-time parking availability information. We design a phone-based system to track a driver's trajectory to detect when they are about to leave their parking spot. We focus on the efficiency and accuracy of using a phone to monitor the driver's walking trajectory, applying a waist-mounted PDR method that can measure the driver's moving distance with a high accuracy. In addition, we design a map matching algorithm to calibrate the direction errors when the driver is in an indoor environment, using widely-available building floor plans. The results of our experiment show that we can achieve about 98% accuracy in estimating the user's walking distance, with an overall location error of about 0.48 m. (C) 2013 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2013.09.044
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2013.09.044
Volume: 41
Issue: 5
Begin Page: 2443
End Page: 2456
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