• DocumentCode
    3262151
  • Title

    Vision Based Obstacle Recognition Approach of a Power Line Inspection Robot

  • Author

    Zuo, Qi ; Xie, Zhi ; Guo, Zijian

  • Author_Institution
    Inf. Sci. & Eng. Coll., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    459
  • Lastpage
    462
  • Abstract
    This paper introduces the research and application situations of the power transmission line inspection robot. It describes the architecture of two-arm rotary mechanism robot and the configuration of control system. The emphasis of this paper is placed on the algorithm of object recognition for those structure-restrained obstacles such as suspending clamps, counterweights, insulators and so on. The experiments of laboratory tests and field applications show that the proposed image recognition approach can achieve accurate results with less memory and computation cost.
  • Keywords
    collision avoidance; image recognition; industrial robots; inspection; manipulators; mobile robots; object recognition; power transmission lines; robot vision; control system configuration; image recognition; object recognition; power transmission line inspection robot; structure-restrained obstacle; two-arm rotary mechanism robot; vision based obstacle recognition; Clamps; Control systems; Image recognition; Inspection; Insulation; Laboratories; Object recognition; Power transmission lines; Robot vision systems; Testing; DOF; inspection robot; obstacles; recognition; video images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.251
  • Filename
    5230912