• DocumentCode
    3271731
  • Title

    Application Analysis of the Linear CCD in the Path Recognition System

  • Author

    Lv, Yingjun ; Xu, Anling ; Chong, Cancan ; Cao, Maoyong

  • Author_Institution
    Shandong Univ. of Sci. & Technol., Qingdao
  • fYear
    2007
  • fDate
    20-24 March 2007
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    Aiming at the problem of little information, poor anti-interference capability and worse prospective of the traditional photoelectric sensor, the present study puts forward using the Linear CCD in the raceway recognition. This paper introduces the work and property of Linear CCD and how to use the image information to control the smart car. The image provided by CCD is processed through binary and Boolean calculate line. The smart car acquires useful information provided by CCD choosing optimization control algorithm. Experiment results demonstrate that this method gives correct parameters of the raceway contained in the image and works well under different illumination conditions. It will be widely used in the image picking-up, image acquisition, scanning instrument and commercial measurement and so on. It has a special advantage on the robot vision, smart car, track guiding in the dynamic detection and so on.
  • Keywords
    CCD image sensors; automatic guided vehicles; automobiles; image motion analysis; image recognition; Boolean calculate line; anti-interference capability; binary calculate line; image acquisition; image information; image picking-up; linear CCD image sensors; optimization control; path recognition system; photoelectric sensor; raceway recognition; robot vision; smart cars; track guiding; Charge coupled devices; Circuits; Educational institutions; Image recognition; Image segmentation; Intelligent robots; Intelligent sensors; Lighting; Object detection; Robot vision systems; Linear CCD; binary; image acquisition; optimization control algorithm; raceway recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integration Technology, 2007. ICIT '07. IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    1-4244-1092-4
  • Electronic_ISBN
    1-4244-1092-4
  • Type

    conf

  • DOI
    10.1109/ICITECHNOLOGY.2007.4290450
  • Filename
    4290450