• DocumentCode
    2569601
  • Title

    The new navigation system for automatic guided vehicle

  • Author

    Du, Yaling ; Gao, Xiaoying ; Liu, Zhun ; Sun, Mei

  • Author_Institution
    Nat. Defense Key Lab. for Aerosp. Intell. Control Technol., Beijing
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    4653
  • Lastpage
    4658
  • Abstract
    This paper designs a new navigation system for automatic guided vehicle (AGV). The system uses the CCD camera in front of the AGV to recognize and track the sign line on the ground, and to extract the position and the direction of the sign line. At the same time, the wheel encoders are used to get the running distance of the AGV finally, the DR algorithm can use the direction and the distance to calculate the accurate position of the AGV at real time. In the track for sign line, the system utilizes the feed-back algorithm to optimize the performance of image processing and remove the shaking of AGV In the summary, the novel navigation system can avoid the position error accumulated with time as general DR and cost lower; a plenty of examinations prove that the algorithm can efficiently improve the position precision.
  • Keywords
    CCD image sensors; automatic guided vehicles; feature extraction; feedback; image coding; mobile robots; path planning; robot vision; tracking; AGV; CCD camera; DR algorithm; automatic guided vehicle; dead reckoning algorithm; direction extraction; feedback algorithm; ground sign line recognition; ground sign line tracking; image processing; machine vision; navigation system; position extraction; wheel encoders; Automatic control; Charge coupled devices; Charge-coupled image sensors; Dead reckoning; Gyroscopes; Image processing; Machine vision; Navigation; Vehicles; Wheels; Dead Reckoning; Fuzzy Controller; Machine Vision; Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598212
  • Filename
    4598212