• DocumentCode
    3022806
  • Title

    Real-time surface slope estimation by homography alignment for spacecraft safe landing

  • Author

    Cheng, Yang

  • Author_Institution
    Jet Propulsion Lab., Pasadena, CA, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    2280
  • Lastpage
    2286
  • Abstract
    This paper offers a real-time approach for simultaneously determining spacecraft motion and multiple 3D planar surfaces for spacecraft safe landing. The approach contains three algorithms: a multiple homography alignment algorithm, which constructs homographies under unified epipolar geometry; a closed-form motion estimation algorithm; and a simple routine for surface slope estimation. This approach has three significant advantages: first, it works well for both a simple planar scene and more complex 3D world containing many smaller planar surfaces; second, it decomposes a very large optimization problem into much smaller sub-problems that are computationally less expensive. This computational advantage means that this approach can be exploited in real time robotic operations such as during time critical spacecraft landing. Finally, this approach is very reliable and accurate. The effectiveness of this approach is determined quantitatively through extensive simulations and qualitatively with actual images.
  • Keywords
    aerospace robotics; geometry; motion estimation; robot vision; space vehicles; closed-form motion estimation algorithm; multiple 3D planar surfaces; multiple homography alignment algorithm; real-time surface slope estimation; spacecraft motion; spacecraft safe landing; unified epipolar geometry; Cameras; Geometry; Image reconstruction; Layout; Motion estimation; Robot vision systems; Robotics and automation; Space vehicles; Surface reconstruction; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509684
  • Filename
    5509684