An indoor locationtracking system for smart parking

Kun Chan Lan, Wen Yuah Shih

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)


There are always frustrations for drivers in finding parking space and parking is costly in almost every major city in the world. In this paper, we propose a crowdsourcing solution by exploiting sensors in the smartphone to collect real-time parking availability information. In particular, we utilise a pedestrian dead reckoning (PDR) system to track the driver's trajectory to detect when he is about to leave his parking space. However, the effectiveness of a PDR system lies in its success in accurately estimating the user's moving distance and direction. In this work, we implement a waist-mounted-based PDR method on a smartphone that can measure the user's moving distance with a high accuracy. Furthermore, we design a map-matching algorithm to calibrate the direction errors from the gyro using 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.

Original languageEnglish
Pages (from-to)215-238
Number of pages24
JournalInternational Journal of Parallel, Emergent and Distributed Systems
Issue number3
Publication statusPublished - 2014 May 4

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications


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