• DocumentCode
    74339
  • Title

    A New Observer for Perspective Vision Systems Under Noisy Measurements

  • Author

    Grave, Ileana ; Yu Tang

  • Author_Institution
    Fac. of Eng., Nat. Autonomous Univ. of Mexico, Mexico City, Mexico
  • Volume
    60
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    503
  • Lastpage
    508
  • Abstract
    A simple design of observers for the range identification problem in perspective vision systems is given based on nonlinear contraction theory and synchronization. Exponential convergence to the object coordinates is achieved. In the presence of significant measurement noise, the performance is improved by synchronization among a group of observers.
  • Keywords
    nonlinear control systems; observers; synchronisation; exponential convergence; noisy measurements; nonlinear contraction theory; observers; perspective vision systems; range identification problem; synchronization; Convergence; Jacobian matrices; Machine vision; Noise; Noise measurement; Observers; Synchronization; Contraction theory; perspective systems; synchronization;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2014.2332692
  • Filename
    6846293
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=74339