• DocumentCode
    162297
  • Title

    Calibration of stereo vision system used on autonomous surface vehicle

  • Author

    Jianhua Wang ; Xiaoyan Pei ; Mengkai Zhao ; Aidi Shen

  • Author_Institution
    Marine Technol. & Control Eng. Key Lab., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2014
  • fDate
    7-10 April 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Due to the special working environment, some problems should be taken into account for calibration of vision system used on autonomous surface vehicle (ASV). This paper discussed the relation between calibration parameters obtained from different distances. After a brief introduction to the imaging model of camera and the classical calibration methods, the relation between the distance from calibration rig to camera and calibration parameters is explored. By the least square algorithm, a functional relation is fitted. Based on equivalent transformation, a method to obtain the relatively accurate calibration parameters is proposed. Experiments show that the accuracy of calibration parameters is improved.
  • Keywords
    image sensors; least squares approximations; stereo image processing; ASV; autonomous surface vehicle; calibration parameters; camera; functional relation; imaging model; least square algorithm; stereo vision system calibration; Accuracy; Calibration; Cameras; Image reconstruction; Machine vision; Sea surface; Vehicles; ASV; camera calibration; functional relation; infinite homography matrix; influence factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2014 - TAIPEI
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4799-3645-8
  • Type

    conf

  • DOI
    10.1109/OCEANS-TAIPEI.2014.6964527
  • Filename
    6964527