• DocumentCode
    669428
  • Title

    Design of vision/INS integrated navigation system in poor vision navigation environments

  • Author

    Youngsun Kim ; Dong-Hwan Hwang

  • Author_Institution
    Dept. of Electron. Eng., Chungnam Nat. Univ., Daejeon, South Korea
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    531
  • Lastpage
    535
  • Abstract
    This paper proposes a design method for an inertial and landmark-based vision integrated navigation system in poor vision navigation environments, which have fewer visible landmarks in an area. An indirect Kalman filter with feedback structure is used in the presented navigation system. The system is designed to use focal plane measurements of landmarks instead of a vision navigation solution for effective measurement usage in poor vision environments. The proposed design is confirmed through the computer simulations and its performance is evaluated comparing the integration system which uses a vision navigation solution.
  • Keywords
    Kalman filters; computer vision; image sensors; inertial navigation; INS integrated navigation system; feedback structure; focal plane measurements; indirect Kalman filter; inertial and landmark-based vision integrated navigation system; poor vision navigation environments; Equations; Global Positioning System; Gold; Jacobian matrices; Machine vision; Q measurement; Focal plane; Inertial navigation system; Integration model; Landmark; Landmark-based vision navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6703994
  • Filename
    6703994