• DocumentCode
    2266091
  • Title

    A vision-based approach for high accuracy assessment of satellite attitude

  • Author

    Bevilacqua, Alessandro ; Gherardi, Alessandro ; Carozza, Ludovico

  • Author_Institution
    ARCES - Adv. Res. Centre on Electron. Syst., Univ. of Bologna, Bologna, Italy
  • fYear
    2009
  • fDate
    Sept. 27 2009-Oct. 4 2009
  • Firstpage
    743
  • Lastpage
    750
  • Abstract
    In this work we present the achievements of the approach we have conceived to estimate in real time the attitude of a satellite endowed with an integral camera looking to the Earth. We have implemented the dynamical model that describes how to reconstruct the spatial orientation of the camera using couples of subsequent views, passing through six reference frames. An in-depth analysis of the influences on the accuracy of the different sources of error arising when implementing the dynamical model has been carried out, from the theoretical framework to the laboratory prototype. Through these studies we have been able to characterize, and often overcome, the traps hidden at the development stage to propose the first vision based approach to determine with very a high accuracy the attitude of a satellite in a stand-alone system. Although the achievements refer to a classical mission critical application, the methodological approach, the choices accomplished and the results presented are of general interest.
  • Keywords
    artificial satellites; attitude control; cameras; computer vision; remote sensing; attitude control; automatic guidance; classical mission critical application; computer vision; high accuracy assessment; integral camera; remote sensing devices; satellite attitude; vision-based approach; Computer vision; Conferences; Satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Workshops (ICCV Workshops), 2009 IEEE 12th International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4442-7
  • Electronic_ISBN
    978-1-4244-4441-0
  • Type

    conf

  • DOI
    10.1109/ICCVW.2009.5457628
  • Filename
    5457628