• DocumentCode
    2497351
  • Title

    Pedestrian Localization System based on Kalman Filter and Fuzzy Logic

  • Author

    Herrera, Edith Pulido ; Quirós, Ricardo ; Fabregat, German ; Ribo, Miguel ; Pinz, Axel

  • Author_Institution
    Jaume I Univ., Castellon
  • fYear
    2006
  • fDate
    22-25 Oct. 2006
  • Firstpage
    1183
  • Lastpage
    1186
  • Abstract
    In this paper a pedestrian localization system for outdoor environment applications is presented. The designed system is based on multiple sensors: GPS receiver, a digital compass and a orientation tracker. A GPS sensor is used to obtain the absolute position of the pedestrian in outdoor, while, the digital compass and orientation tracker provide the pedestrian´s orientation. To improve the response and system reliability a prototype was designed based on the extended Kalman filter (EKF) and fuzzy logic.
  • Keywords
    Global Positioning System; Kalman filters; fuzzy logic; nonlinear filters; radio receivers; sensor fusion; Extended Kalman Filter; GPS receiver; digital compass; fuzzy logic; multiple sensors; outdoor environment applications; pedestrian localization system; Accelerometers; Cameras; Electronic mail; Fuzzy logic; Fuzzy systems; Global Positioning System; Navigation; Sensor fusion; Sensor phenomena and characterization; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2006. 5th IEEE Conference on
  • Conference_Location
    Daegu
  • ISSN
    1930-0395
  • Print_ISBN
    1-4244-0375-8
  • Electronic_ISBN
    1930-0395
  • Type

    conf

  • DOI
    10.1109/ICSENS.2007.355830
  • Filename
    4178825