Missions using unmanned aerial vehicles (UAV) have increased in the past decade. However, there is not currently a way to refuel these aircraft. Accomplishing automated aerial refueling (AAR) can be made possible using the stereo vision system on the KC-46. Real world experiments for the AAR problem are expensive and a logistical nightmare. Currently, research performed in a virtual world has shown promising results using computer vision. It is possible to use the virtual world as a substitute environment for the real world. This research compares the performance of stereo vision algorithms on synthetic and real world imagery.


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    Titel :

    Stereo Vision: A Comparison Of Synthetic Imagery vs Real World Imagery For The Automated Aerial Refueling Problem


    Beteiligte:
    N. J. Seydel (Autor:in)

    Erscheinungsdatum :

    2018


    Format / Umfang :

    66 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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