• DocumentCode
    2228481
  • Title

    Advanced guided vehicle: distributed system

  • Author

    Wang, Han ; Li, Stan Z. ; Chua, Hong Chuek ; Chan, Seng Way ; Tang, Rong ; Wang, Zheng Gang ; Goh, Ching Tardi

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
  • fYear
    1997
  • fDate
    9-12 Sep 1997
  • Firstpage
    830
  • Abstract
    This paper focuses on the construction of an advanced guided vehicle in the following areas: localization process, motion control process and the integration of the overall system, vision processing, and path planning. The localization process is to determine the position and orientation of the vehicle continuously during the running of the vehicle. The motion control process commands the motor to drive the vehicle to the desired position. Effort was put into improving the estimation and driving for upto expectation accuracy. The integration task aims at corporating the various tasks together for the completion of the project. Vision processing is to process the image captured by the CCD camera to determine the obstacle information in front of the vehicle. The path planning process is to define the path for the vehicle to travel
  • Keywords
    automatic guided vehicles; computerised control; distributed control; mobile robots; motion control; path planning; robot vision; CCD camera image; advanced guided vehicle; estimation; integration task; localization process; motion control process; obstacle information; orientation; path planning; position; vision processing; Charge coupled devices; Charge-coupled image sensors; Dead reckoning; Digital signal processing; Intelligent vehicles; Motion control; Path planning; Voltage; Wheelchairs; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
  • Print_ISBN
    0-7803-3676-3
  • Type

    conf

  • DOI
    10.1109/ICICS.1997.652095
  • Filename
    652095