As the applications for using small Unmanned Aircraft Systems (sUAS) beyond visual line of sight (BVLOS) continue to grow in the coming years, it is imperative that intelligent sensor fusion techniques be explored. In BVLOS scenarios the vehicle position must accurately be tracked over time to ensure no two vehicles collide with one another, no vehicle crashes into surrounding structures, and to identify off-nominal scenarios. Therefore, in this study an intelligent systems approach is used to estimate the position of sUAS given a variety of sensor platforms, including, GPS, radar, and on-board detection hardware. Common research challenges include, asynchronous sensor rates and sensor reliability. In an effort to realize these challenges, techniques such as a Maximum a Posteriori estimation and a Fuzzy Logic based sensor confidence determination are used.


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    Titel :

    Multi-Source Sensor Fusion for Small Unmanned Aircraft Systems Using Fuzzy Logic


    Beteiligte:
    B. Cook (Autor:in) / K. Cohen (Autor:in)

    Erscheinungsdatum :

    2017


    Format / Umfang :

    6 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch






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