• DocumentCode
    1681112
  • Title

    Visual guidance system for satellite rendezvous applications

  • Author

    Yildiz, Hikmet ; Poyraz, Muhammet ; Kilic, Osman F. ; Mutlu, Sinan ; Ozdemir, Safa ; Akbulut, Burak

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bilkent Univ., Ankara, Turkey
  • fYear
    2015
  • Firstpage
    333
  • Lastpage
    338
  • Abstract
    In this study, a visual guidance system concept is developed to be utilized in satellite rendezvous applications which involves estimating the location, orientation, linear and angular velocities of a target object (with a predefined shape) with respect to the main object. The visual guidance system relies on the reference markers on the target or extracted SURF feature points. Stereo Vision System and Optimal Rigid Body Transformation method is employed based on reference points on the target in order to estimate 3D location and orientation data. A linear Kalman Filter and an Extended Kalman Filter are used to track the target object and estimate linear and angular velocities.
  • Keywords
    Kalman filters; aerospace computing; feature extraction; nonlinear filters; stereo image processing; 3D location estimation; angular velocity estimation; extended Kalman filter; extracted SURF feature points; linear Kalman filter; linear velocity estimation; optimal rigid body transformation method; orientation data estimation; reference markers; satellite rendezvous applications; stereo vision system; target object tracking; visual guidance system; Cameras; Covariance matrices; Feature extraction; Kalman filters; Position measurement; Stereo vision; Three-dimensional displays; Kalman Filter; Remote sensing; position measurement; space stations; space technology; stereo image processing; stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-7760-7
  • Type

    conf

  • DOI
    10.1109/RAST.2015.7208365
  • Filename
    7208365