UAV (Unmanned Aerial Vehicle) are employed in crisis or war times. For training purposes, they must be flown in special areas called “segregated areas”. In the future, both for emerging civilian applications and for training purposes, UAV will have to be inserted into the general Air traffic. So, UAV will have to be equipped with “Sense and Avoid” systems. An interesting solution is to merge a co-operative sensor like ADS-B and a non-cooperative “all weather” one, namely Radar. In favorable cases, the Radar measurements can be improved by using additional Electro-Optical sensors, for instance video sensors.


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    Titel :

    Sense and avoid radar using Data Fusion with other sensors


    Beteiligte:
    Cornic, P (Autor:in) / Garrec, P (Autor:in) / Kemkemian, S (Autor:in) / Ratton, L (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.03.2011


    Format / Umfang :

    483133 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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