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Real-Time Automated Aerial Refueling Using Stereo Vision

机译:使用立体视觉实时自动化空中加油

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Aerial Refueling (AAR) of Unammed Aerial Vehicles (UAVs) is vital to the United States Air Force's (USAF) continued air superiority. Inspired by the stereo vision system organic to the new KC46A Pegasus tanker, we present a novel solution for computing a real time relative navigation (rel-nav) vector between a refueling UAV and a KC-46. Our approach relies on a real time 3D virtual simulation environment that models a realistic refueling scenario. Within this virtual scenario, a stereo camera system mounted beneath the KC-46 consumes synthetic imagery of a receiver conducting an aerial refueling approach. This synthetic imagery is processed by computer vision algorithms that calculate the sensed rel-nav position and orientation. The sensed solution is compared against the virtual environment's truth data to quantify error and evaluate the stereo vision performance in a deterministic, real time manner. Our approach yields sub-meter precision at approximately 30 Hz.
机译:Acial Cofueling(AAR)未签名的空中车辆(无人机)对美国空军(USAF)持续的空气优势至关重要。由立体声视觉系统有机的启发,我们为新的KC46A Pegasus油轮提供了一种用于计算加油UAV和KC-46之间的实时相对导航(Rel-Nav)向量的新型解决方案。我们的方法依赖于模拟逼真的加油方案的实时3D虚拟仿真环境。在此虚拟场景中,安装在KC-46下方的立体声相机系统消耗了进行空中加油方法的接收器的合成图像。该合成图像由计算机视觉算法处理,用于计算所感测的Rel-NAV位置和方向。将感测的解决方案与虚拟环境的真实数据进行比较以量化错误并以确定性,实时方式评估立体视觉性能。我们的方法在大约30 Hz处产生亚米精度。

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