• DocumentCode
    3669053
  • Title

    Vision-based intelligent forklift Automatic Guided Vehicle (AGV)

  • Author

    Luyang Li;Yun-Hui Liu;Mu Fang;Zhizeng Zheng;Hengbo Tang

  • Author_Institution
    Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, NT, Hong Kong
  • fYear
    2015
  • Firstpage
    264
  • Lastpage
    265
  • Abstract
    This paper develops a new vision-based intelligent forklift Automatic Guided Vehicle (A GV) to perform various transporting tasks in factories and warehouses for improving the quality and efficiency as well as saving the manpower in manufacturing and service industries. Based on a vision-based adaptive localization algorithm with the global pose correction and a visual servo motion controller, the automatic driving function of the A GV can be realized. Experiments conducted in a factory validate performance of the vision-based intelligent forklift A GV.
  • Keywords
    "Navigation","Production facilities","Cameras","Automation","Wheels","Gyroscopes","Lenses"
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2015 IEEE International Conference on
  • ISSN
    2161-8070
  • Electronic_ISBN
    2161-8089
  • Type

    conf

  • DOI
    10.1109/CoASE.2015.7294072
  • Filename
    7294072