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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    Title :

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


    Contributors:

    Publication date :

    2018


    Size :

    66 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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