• DocumentCode
    3054710
  • Title

    Multi-floor map matching in indoor environments for mobile platforms

  • Author

    Ascher, Christian ; Kessler, Christoph ; Weis, Roland ; Trommer, Gert F.

  • Author_Institution
    Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • fYear
    2012
  • fDate
    13-15 Nov. 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this paper a map matching algorithm for multi floor indoor environments including guidance of a user is presented. Inertial sensor based pedestrian navigation systems are subject to drift. Maps are to eliminate that drift by matching the path to a map. In multi floor scenarios, we propose to use not only flat floor plans but also transitions like staircases as well as ladders and elevators. This is essential for an enhanced matching of a user path to a given 3D floor plan. Especially in industrial applications this is a crucial factor as also ladders and elevators exist. In contrast to other authors, this paper considers all of these objects. 3D position estimations from an Integrated Pedestrian Navigation System (IPNS) including an inertial system as well as a barometer and a magnetometer are used. Maps must be available, either from a prior Simultaneous Localization and Mapping (SLAM) survey or from facility maps. The new map representation is used to match real sensor data from the IPNS system to a map in a real time implementation. Furthermore an online guidance implementation is presented which is also based on the new 3D map representation.
  • Keywords
    indoor radio; inertial navigation; 3D floor plan; 3D map representation; 3D position estimations; IPNS; SLAM; indoor environments; inertial sensor based pedestrian navigation systems; inertial system; integrated pedestrian navigation system; map matching algorithm; mobile platforms; multifloor indoor environments; multifloor map matching; simultaneous localization and mapping; Atmospheric measurements; Noise; Particle measurements; Indoor Navigation; Map Matching; Multi-floor; Particle Filters; Pedestrian Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Indoor Positioning and Indoor Navigation (IPIN), 2012 International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-1-4673-1955-3
  • Type

    conf

  • DOI
    10.1109/IPIN.2012.6418928
  • Filename
    6418928