• DocumentCode
    3011953
  • Title

    Application of nonlinear filtering to navigation system design using nonlinear passive sensors

  • Author

    Yakimenko, Oleg ; Kaminer, Isaac ; Pascoal, Antonio ; Kang, Wei

  • Author_Institution
    Zhukovski Air Force Eng. Acad., Moscow, Russia
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    5198
  • Abstract
    Addresses the problem of navigation system design for autonomous aircraft landing. Nonlinear filter structures are introduced to estimate the position of an aircraft with respect to a possibly moving landing site, such as a naval vessel, based on measurements provided by airborne vision and inertial sensors. Original results that address this problem are presented in Kaminer et al. (1999). In this paper these results are extended to include stereo vision. A detailed example that illustrates the use of the filters is also included
  • Keywords
    aircraft landing guidance; filtering theory; image sensors; nonlinear filters; stereo image processing; airborne vision sensors; autonomous aircraft landing; inertial sensors; moving landing site; naval vessel; navigation system design; nonlinear filtering; nonlinear passive sensors; position estimation; Aerospace engineering; Aircraft navigation; Filtering; Kinematics; Marine vehicles; Passive filters; Sensor systems; Sensor systems and applications; Stereo vision; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2000. Proceedings of the 39th IEEE Conference on
  • Conference_Location
    Sydney, NSW
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-6638-7
  • Type

    conf

  • DOI
    10.1109/CDC.2001.914782
  • Filename
    914782