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Autonomous Landing of UAV Using Vision Based Approach and PID Controller Based Outer Loop

机译:基于视觉的方法和基于外环的PID控制器的无人机自主着陆

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In this paper, a control system for autonomous landing of UAV at a desired position using vision system is constructed and verified through flight experiments. In the UAV, a camera mounted on the gimbal takes image of the direct under of the UAV's position. This image is processed in real time on the onboard GPU to generate the pixel coordinates of the helipad in the image. The generated pixel coordinates are transferred to the onboard FCC to generate an outer loop controller command, which is input to a commercial controller that performs attitude control. As a result, we confirmed that UAV can be successfully landed on the helipad, which is the desired landing position, by using the system constructed through the flight experiment.
机译:在本文中,通过飞行实验构建并验证了使用视觉系统将无人机自动降落在所需位置的控制系统。在无人机中,安装在万向架上的摄像机会拍摄无人机正下方的图像。该图像在机载GPU上实时处理,以生成图像中直升机停机坪的像素坐标。生成的像素坐标被传输到车载FCC,以生成外环控制器命令,该命令输入到执行姿态控制的商用控制器。结果,我们证实,通过使用通过飞行实验构建的系统,无人机可以成功降落在停机坪上,这是所需的降落位置。

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