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Real-Time Automated Aerial Refueling Using Stereo Vision

机译:使用立体视觉实时自动空中加油

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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 KC-46A 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:无人驾驶飞机(UAV)的空中加油(AAR)对于美国空军(USAF)的持续空中优势至关重要。受新型KC-46A飞马油轮有机立体视觉系统的启发,我们提出了一种新颖的解决方案,用于计算加油无人机和KC-46之间的实时相对导航(rel-nav)矢量。我们的方法依赖于实时3D虚拟仿真环境,该环境对现实的加油场景进行建模。在这种虚拟场景中,安装在KC-46下方的立体声摄像系统消耗了执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,该算法计算感测到的导航位置和方向。将感测到的解决方案与虚拟环境的真实数据进行比较,以确定的实时方式量化误差并评估立体视觉性能。我们的方法可产生约30 Hz的亚表精度。

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