title: A Hybrid Indoor Localization and Navigation System with Map Matching for Pedestrians Using Smartphones.
abstract: Pedestrian dead reckoning is a common technique applied in indoor inertial navigation systems that is able to provide accurate tracking performance within short distances. Sensor drift is the main bottleneck in extending the system to long-distance and long-term tracking. In this paper, a hybrid system integrating traditional pedestrian dead reckoning based on the use of inertial measurement units, short-range radio frequency systems and particle filter map matching is proposed. The system is a drift-free pedestrian navigation system where position error and sensor drift is regularly corrected and is able to provide long-term accurate and reliable tracking. Moreover, the whole system is implemented on a commercial off-the-shelf smartphone and achieves real-time positioning and tracking performance with satisfactory accuracy.
authors.affiliation: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China. tianql@vlsi.zju.edu.cn.
authors.forename: Qinglin
authors.initials: Q
authors.lastname: Tian
authors.affiliation: Department of Electrical and Computer Engineering, University of Auckland, Auckland 1010, New Zealand. z.salcic@auckland.ac.nz.
authors.forename: Zoran
authors.initials: Z
authors.lastname: Salcic
authors.affiliation: Department of Electrical and Computer Engineering, University of Auckland, Auckland 1010, New Zealand. kevin.wang@auckland.ac.nz.
authors.forename: Kevin I-Kai
authors.initials: KI
authors.lastname: Wang
authors.affiliation: Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China. panyun@vlsi.zju.edu.cn.
authors.forename: Yun
authors.initials: Y
authors.lastname: Pan
keywords: drift-free; hybrid; map matching; particle filter; pedestrian dead reckoning