• DocumentCode
    669308
  • Title

    Efficient driving of tracking robot using kalman filters

  • Author

    Hu Chen ; Hyun-seop Lim ; Seung-ik Hwang ; Jang-Myung Lee

  • Author_Institution
    Dept. of Electr. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    119
  • Lastpage
    123
  • Abstract
    Path planning of mobile robot has a purpose to design an optimal path from initial position to target point. Driving distance is considered when choose the optimal path. In this paper, we proposed efficient driving trajectory when mobile robot follows moving object in real time. First, position and distance of moving object can be acquired using one web camera and rotation angular velocity, linear velocity is estimated using Kalman filter to predict trajectory of moving object. Finally mobile robot follows moving object using proposed tracking control method by estimating trajectory of moving object.
  • Keywords
    Kalman filters; angular velocity; cameras; image motion analysis; mobile robots; object tracking; path planning; robot vision; trajectory control; Kalman filter; driving distance; driving trajectory; linear velocity; mobile robot; moving object distance estimation; moving object position estimation; optimal path design; path planning; rotation angular velocity; target point; tracking control method; trajectory estimation; trajectory prediction; web camera; Data models; Kalman filters; Robots; Vectors; Xenon; Kalman filter; Mobile robot trajectory; Tracking robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6703874
  • Filename
    6703874