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Stereo Vision: A Comparison Of Synthetic Imagery vs Real World Imagery For The Automated Aerial Refueling Problem.
| 题名： | Stereo Vision: A Comparison Of Synthetic Imagery vs Real World Imagery For The Automated Aerial Refueling Problem. |
| 作者： | Seydel, N. J. |
| 关键词： | Refueling in flight, Computer vision, Unmanned aerial vehicles, Tanker aircraft, Navigation, Aar(automated aerial refueling), Virtual world, Position estimation, Relative navigation, Vicon, Synthetic imagery |
| 摘要： | 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. |
| 报告类型： | 科技报告 |
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