• DocumentCode
    1390
  • Title

    A Survey of Indoor Inertial Positioning Systems for Pedestrians

  • Author

    Harle, R.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Cambridge, Cambridge, UK
  • Volume
    15
  • Issue
    3
  • fYear
    2013
  • fDate
    Third Quarter 2013
  • Firstpage
    1281
  • Lastpage
    1293
  • Abstract
    With the continual miniaturisation of sensors and processing nodes, Pedestrian Dead Reckoning (PDR) systems are becoming feasible options for indoor tracking. These use inertial and other sensors, often combined with domain-specific knowledge about walking, to track user movements. There is currently a wealth of relevant literature spread across different research communities. In this survey, a taxonomy of modern PDRs is developed and used to contextualise the contributions from different areas. Techniques for step detection, characterisation, inertial navigation and step-and-heading-based dead-reckoning are reviewed and compared. Techniques that incorporate building maps through particle filters are analysed, along with hybrid systems that use absolute position fixes to correct dead-reckoning output. In addition, consideration is given to the possibility of using smartphones as PDR sensing devices. The survey concludes that PDR techniques alone can offer good short- to medium- term tracking under certain circumstances, but that regular absolute position fixes from partner systems will be needed to ensure long-term operation and to cope with unexpected behaviours. It concludes by identifying a detailed list of challenges for PDR researchers.
  • Keywords
    inertial navigation; particle filtering (numerical methods); position control; sensors; smart phones; target tracking; PDR sensing devices; PDR systems; Pedestrian Dead Reckoning; absolute position fixes; domain-specific knowledge; hybrid systems; indoor inertial positioning systems; indoor tracking; particle filters; smartphones; taxonomy; Dead reckoning; Legged locomotion; Navigation; Sensor systems; Wearable computers; Dead Reckoning; Inertial Navigation; Particle Filters; Wearable Computers;
  • fLanguage
    English
  • Journal_Title
    Communications Surveys & Tutorials, IEEE
  • Publisher
    ieee
  • ISSN
    1553-877X
  • Type

    jour

  • DOI
    10.1109/SURV.2012.121912.00075
  • Filename
    6407455