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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    Title :

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


    Contributors:

    Conference:

    IEEE International Conference on Fuzzy Systems 2017 ; 2017 ; Naples, Italy


    Publication date :

    2017-07-09


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English






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