• DocumentCode
    3363936
  • Title

    The obstacle recognition approach for a power line inspection robot

  • Author

    Zuo, Qi ; Xie, Zhi ; Guo, Zijian ; Sun, Dehui

  • Author_Institution
    Inf. Sci. & Eng. Coll., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    1757
  • Lastpage
    1761
  • Abstract
    The obstacles measurement and recognition from the complex background is the first step for a power transmission line inspection robot to negotiate obstacles autonomously with high reliability. This paper introduces the research and application situations of the inspection robot and analyses the features of the typical obstacles in the real power line. The configuration of control system of the inspection robot is described. The emphasis of this paper is placed on the algorithm of obstacle recognition for those structure-restrained obstacles. Approaches based on straight line, circle and ellipse extraction are used to recognize the typical obstacles-counterweights, insulators, suspending clamps and so on. The experiment results achieved in both laboratory tests and field applications show the high accurate and efficient result of this approach.
  • Keywords
    collision avoidance; inspection; mobile robots; power transmission lines; robot vision; obstacle recognition; obstacles measurement; power line inspection robot; power transmission line inspection robot; reliability; Clamps; Control systems; Inspection; Insulation; Laboratories; Power measurement; Power system reliability; Power transmission lines; Robots; Transmission line measurements; counterweight; negotiate; obstacles; recognition; strain clamp; suspension clamp;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5246242
  • Filename
    5246242