The advent of new sensors allows to create smaller and lighter inertial systems than ever before: thanks to their compact size, low cost and low power consumption, they can be installed on flying platforms such as UAV systems, to improve the reliability of autonomous navigation. The merging of the Inertial Reference System (IRS) and GNSS data through the Kalman filter gives a significantly improve to the autonomous navigation performance both in terms of accuracy and integrity. This paper is focused on the methods and techniques of GNSS integrated with an Inertial Reference System and their applications in UAV autonomous navigation systems.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Lightweight GNSS/IRS integrated navigation system for UAV vehicles


    Beteiligte:


    Erscheinungsdatum :

    01.05.2014


    Format / Umfang :

    1397446 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    INS/GNSS Integrated Navigation Technology

    Li, Xuefeng / Li, Chaobing | Springer Verlag | 2018


    Improving the RISS/GNSS Land-Vehicles Integrated Navigation System Using Magnetic Azimuth Updates

    Abosekeen, Ashraf / Noureldin, Aboelmagd / Korenberg, Michael J. | IEEE | 2020


    GNSS/INS/VKM Vehicle Integrated Navigation System

    Yu, Gong-min / Xiong, Jian / Guo, Hang et al. | Tema Archiv | 2014


    KALMAN FILTERING FOR SINS/GNSS INTEGRATED NAVIGATION OF LONG RANGE CRUISING VEHICLES

    Li, Jixin / Liang, Xiaogeng / Ma, Weihua et al. | TIBKAT | 2020


    Autonomous vehicles supporting global navigation satellite system (GNSS) anti-spoofing

    CLARK STEVEN | Europäisches Patentamt | 2024

    Freier Zugriff