Mobile Computing, Applications, and Services. Second International ICST Conference, MobiCASE 2010, Santa Clara, CA, USA, October 25-28, 2010, Revised Selected Papers

Research Article

PosQ: Unsupervised Fingerprinting and Visualization of GPS Positioning Quality

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  • @INPROCEEDINGS{10.1007/978-3-642-29336-8_10,
        author={Mikkel Kj\c{c}rgaard and Kay Weckemann},
        title={PosQ: Unsupervised Fingerprinting and Visualization of GPS Positioning Quality},
        proceedings={Mobile Computing, Applications, and Services. Second International ICST Conference, MobiCASE 2010, Santa Clara, CA, USA, October 25-28, 2010, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={global positioning system positioning quality fingerprinting efficiency},
        doi={10.1007/978-3-642-29336-8_10}
    }
    
  • Mikkel Kjærgaard
    Kay Weckemann
    Year: 2012
    PosQ: Unsupervised Fingerprinting and Visualization of GPS Positioning Quality
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-29336-8_10
Mikkel Kjærgaard1,*, Kay Weckemann2,*
  • 1: Aarhus University
  • 2: Ludwig-Maximilian University
*Contact email: mikkelbk@cs.au.dk, kay.weckemann@ifi.lmu.de

Abstract

GPS positioning does not provide pervasive coverage and the accuracy depends on the local environment. When deploying and managing position-based applications it is important to know when to depend on GPS and when to deploy supplementary means of positioning, such as local or inertial positioning. This paper proposes PosQ, a system for unsupervised fingerprinting and visualization of GPS positioning quality. PosQ provides quality maps to position-based applications and visual overlays to users and managers to reveal the positioning quality in a local environment. The system reveals the quality both as it changes over time, in 2D and 3D, and for each type of GPS receiver. Our evaluation provides evidence that the collected quality maps are accurate, that they remain informative over time, that they capture the differences among GPS receivers, and that they can be efficiently collected by participating devices.