A Kalman filter based multiple sensor fusion method for determining the position of a general aviation aircraft with respect to the runway during night landing and takeoff is discussed. Known structure of the airport lights, video images acquired by an onboard video camera, position estimates from an onboard Global Positioning System (GPS), and data from an attitude indicator are integrated in a Kalman filtering algorithm. Simulation results are presented to demonstrate the feasibility of the proposed concept.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    GPS/machine vision navigation system for aircraft


    Contributors:
    Chatterji, G.B. (author) / Menon, P.K. (author) / Sridhar, B. (author)


    Publication date :

    1997-07-01


    Size :

    1198136 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    GPS-Machine Vision Navigation System for Aircraft

    Chatterji, G.B. | Online Contents | 1997



    Parallel implementation of machine vision for aircraft navigation

    Vinogradov, I.A. / Lobusov, E.S. / Pupkov, C.A. | Tema Archive | 1997


    Vision assisted aircraft lateral navigation

    Mohideen, Mohamed Ibrahim / Ramegowda, Dinesh / Seiler, Peter | SPIE | 2013


    A vision based navigation system for autonomous aircraft

    Fürst, S. / Dickmanns, E.D. | Tema Archive | 1999