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A vision-based method for autonomous landing of a rotor-craft unmanned aerial vehicle

机译:一种基于视觉的旋翼无人机自动降落方法

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摘要

This article introduces a real-time vision-based method for guided autonomous landing of a rotor-craft unmanned aerial vehicle. In the process of designing the pattern of landing target, we have fully considered how to make this easier for simplified identification and calibration. A linear algorithm was also applied using a three-dimensional structure estimation in real time. In addition, multiple-view vision technology is utilized to calibrate intrinsic parameters of camera online, so calibration prior to flight is unnecessary and the focus of camera can be changed freely in flight, thus upgrading the flexibility and practicality of the method.
机译:本文介绍了一种基于实时视觉的用于旋翼飞机无人驾驶飞机的引导自主着陆的方法。在设计着陆目标的模式的过程中,我们已经充分考虑了如何使其更易于简化识别和校准。还使用实时三维结构估计应用了线性算法。另外,多视角视觉技术被用于在线校准相机的固有参数,因此无需在飞行前进行校准,并且可以在飞行中自由改变相机的焦点,从而提高了该方法的灵活性和实用性。

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