• DocumentCode
    3276618
  • Title

    A geometric moment-based observer for global range and local orientation identification

  • Author

    Sassano, M. ; Carnevale, D. ; Astolfi, A.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    178
  • Lastpage
    183
  • Abstract
    A reduced-order globally convergent observer to estimate the depth of an object projected on the image plane of a camera is presented, assuming that the object is planar or has a planar limb surface and the orientation of the plane is known. A local result can be obtained when the plane unit normal is unknown, and the latter is estimated together with the depth of the object. The observer exploits the image moments of the object as measured features. The estimation is achieved by rendering attractive and invariant a manifold in the extended state space of the system and the observer. The problem is reduced to the solution of a system of partial differential equations.
  • Keywords
    cameras; geometry; observers; partial differential equations; robots; state-space methods; visual servoing; camera; geometric moment based observer; global range identification; image plane; local orientation identification; partial differential equations; planar limb surface; reduced order globally convergent observer; state space; Cameras; Educational institutions; Feature extraction; Intelligent robots; Observers; Orbital robotics; Robot control; Robot vision systems; Robotics and automation; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5530506
  • Filename
    5530506