• DocumentCode
    504700
  • Title

    Vision-based estimation of bolt-hole location using Circular Hough Transform

  • Author

    Choe, Yungeun ; Lee, Hoo-Cheol ; Kim, Young-Joong ; Hong, Dae-Hie ; Park, Sin-Suk ; Lim, Myo-Taeg

  • Author_Institution
    Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    4821
  • Lastpage
    4826
  • Abstract
    In order to use a robot in the construction automation filed, we proposed the concept of Bolting Robot and a visual servo control scheme to track a bolting tool to a bolt hole in the structural steel frame. For estimating a location of a bolt hole, Circular Hough Transform (CHT) was used to extract circles. Generally, CHT is computationally complex due to a power of the dimensionality of a circle. A distance from a camera to a steel frame can be measured by using laser range-finder installed. The radius of a bolt hole can be calculated with the distance to a steel frame. Since the radius is known, the processing of CHT can be reduced to 2D. In addition, it contains image pre-processing to make an image of bolt holes to be clear. Pre-processing has 4 steps which consist of compensating lens distortion, noise filtering, histogram equalization, and edge detection.
  • Keywords
    Hough transforms; computer vision; construction; edge detection; industrial robots; servomechanisms; structural engineering; visual servoing; bolt hole image; bolt hole location; bolting robot; circle dimensionality; circular Hough transform; construction automation; edge detection; histogram equalization; image preprocessing; laser range finder; lens distortion compensation; noise filtering; structural steel frame; vision-based estimation; visual servo control; Fasteners; Filtering; Histograms; Image edge detection; Lenses; Mechanical engineering; Robot vision systems; Robotics and automation; Servosystems; Steel; Bolt Hole Detection; Circular Hough Transform; Construction Automation; Image Processing; Robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5334375