• DocumentCode
    2610787
  • Title

    Vision-Based System for Satellite On-Orbit Self-Servicing

  • Author

    Zhang, Guoliang ; Liu, Hong ; Wang, Jie ; Jiang, Zainan

  • Author_Institution
    State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin
  • fYear
    2008
  • fDate
    2-5 July 2008
  • Firstpage
    296
  • Lastpage
    301
  • Abstract
    The paper puts forward a new concept of the Satellite On-Orbit Self-Servicing using vision. In order to verify this concept, a prototype vision system has been presented by integrating vision techniques. Cooperative object recognition has been designed and implemented based on polygonal approximation. To realize real-time visual servoing control, part of recognition module has been optimized to increase process speed. Instead of time-consuming 3D pose estimation, a simple redundant feature based visual servoing method is presented. A new quantitative sensitive measure is used to select the feature points so as to minimize the joint error and increase the response speed. Finally, in a representative laboratory environment, a typical satellite servicing experiment is carried out based on shared control concept. The results of the experiment demonstrate the effectiveness of the system.
  • Keywords
    artificial satellites; control engineering computing; object recognition; pose estimation; visual servoing; 3D pose estimation; cooperative object recognition; polygonal approximation; prototype vision system; real-time visual servoing control; satellite on-orbit self- servicing; satellite servicing; vision-based system; Cameras; Delay effects; Machine vision; Orbital robotics; Robot vision systems; Satellites; Space exploration; Space shuttles; Space technology; Visual servoing; Satellite On-Orbit Self-Servicing; object recognition; sensitivity; visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics, 2008. AIM 2008. IEEE/ASME International Conference on
  • Conference_Location
    Xian
  • Print_ISBN
    978-1-4244-2494-8
  • Electronic_ISBN
    978-1-4244-2495-5
  • Type

    conf

  • DOI
    10.1109/AIM.2008.4601676
  • Filename
    4601676