• DocumentCode
    3304430
  • Title

    Real-Time Unmanned Robot Tracking with Extended Kalman Filter in the Vibration Smooth Cricket Location System

  • Author

    Yoo, Jae Bong ; Park, Chan Young

  • Author_Institution
    Dept. of Comput. Eng., Hallym Univ., Seoul
  • Volume
    1
  • fYear
    2008
  • fDate
    17-20 Feb. 2008
  • Firstpage
    517
  • Lastpage
    521
  • Abstract
    Researches about tracking mobile nodes are increasing in Sensor network but almost all studies about tracking a moving device up to recently should have been estimated their moving distance using encoder, gyro and accelerometer sensors and so on. In this point of view, we present methodology for verifying tracking experiments by mapping the position of a mobile node into images acquired from a Webcam without any additional sensors. The proposed method helps us compare experimental results of unmanned robot tracking in active and passive architecture. Vibration Smooth Cricket used in our experiments was modified from the original Cricket in order to remove unmanned robot´s motor interference influences on ultrasonic sensors.
  • Keywords
    Kalman filters; image sensors; mobile robots; nonlinear filters; robot vision; tracking filters; Webcam; extended Kalman filter; real-time unmanned robot tracking; sensor network; ultrasonic sensor; vibration smooth cricket location system; Accelerometers; Global Positioning System; Image sensors; Interference; Mobile computing; RF signals; Radar tracking; Real time systems; Robot sensing systems; Sensor systems; Extended Kalman Filter; Real-Time Tracking; Vibration Smooth Cricket;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference on
  • Conference_Location
    Gangwon-Do
  • ISSN
    1738-9445
  • Print_ISBN
    978-89-5519-136-3
  • Type

    conf

  • DOI
    10.1109/ICACT.2008.4493815
  • Filename
    4493815