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Research On Computer Vision-based For Uav Autonomous Landing On A Ship

机译:基于计算机视觉的无人机自主着陆研究

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In this paper, a novel approach to UAV's automatic landing on the ship's deck is proposed. We present the design of the cooperative object, and then begin our basic research on UAV autonomous landing on a ship by using computer vision and affine moment invariants. We analyze the infrared radiation images in our experiments by extracting the target from the background and then recognizing it. Also, we calculate the angle of yaw. We study the basic research concerning automatic UAV navigation and landing on the deck. Based on our experiments, the average recognition time is 17.2 ms which is obtained through the use of affine moment invariants. This type of speed is expected to improve the reliability and real-time performance of autonomous UAV landing.
机译:本文提出了一种新颖的无人机自动降落在船甲板上的方法。我们介绍了合作对象的设计,然后通过计算机视觉和仿射矩不变式开始了对无人机自主降落的基础研究。我们通过从背景中提取目标然后对其进行识别来分析实验中的红外辐射图像。同样,我们计算偏航角。我们研究有关无人机自动导航和降落在甲板上的基础研究。根据我们的实验,通过使用仿射矩不变式获得的平均识别时间为17.2 ms。这种速度有望提高自主无人机着陆的可靠性和实时性能。

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