• DocumentCode
    3600129
  • Title

    Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching

  • Author

    Bojja, Jayaprasad ; Collin, Jussi ; Sarkka, Simo ; Takala, Jarmo

  • Author_Institution
    Dept. Pervasive Comput., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2015
  • Firstpage
    1116
  • Lastpage
    1120
  • Abstract
    Localization in global navigation satellite system denied environments using inertial sensors alone, or radio sensors alone or a combination of both are the currently active research topics. The current research works are primarily focused on static environments with earth fixed coordinate frames, having nonmoving maps. In this research work, we use micro electromechanical sensors based inertial sensors, band pass filtering, particle filtering, maps and map matching techniques for pedestrian localization with respect to on ground moving platforms such as train or bus. Since these platforms are moving, the maps of such platforms are moving maps with respect to earth centered, earth fixed coordinate frames. The techniques of this research work could further be extended and adapted to other moving platforms such as airplanes, boats and submarines.
  • Keywords
    band-pass filters; particle filtering (numerical methods); pedestrians; satellite navigation; sensor fusion; Earth centered frames; Earth fixed-coordinate frames; band pass filtering; dead reckoning; global navigation satellite system denied environments; ground moving platforms; map matching techniques; microelectromechanical sensor-based inertial sensors; nonmoving maps; particle filtering; pedestrian localization; radio sensors; static environments; Accelerometers; Band-pass filters; Dead reckoning; Earth; Global Positioning System; Legged locomotion; Sensors; indoor environments; map matching; moving maps; particle filters; pedestrian dead reckoning; sensor fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178143
  • Filename
    7178143