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
fDate :
June 30 2010-July 2 2010
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;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5530506