An intelligent driver location system for smart parking

作者：Lan Kun Chan; Shih Wen Yuah^*

来源：Expert Systems with Applications, 2014, 41(5): 2443-2456.

DOI：10.1016/j.eswa.2013.09.044

• Pedestrian dead reckoning
• Simple harmonic motion
• ZUPT
• Map matching
• Floor plan
• Smart parking

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%26apos;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%26apos;s walking trajectory, applying a waist-mounted PDR method that can measure the driver%26apos;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%26apos;s walking distance, with an overall location error of about 0.48 m.

• 出版日期2014-4