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Automatic landing for fixed-wing UAV using stereo vision with a single camera and an orientation sensor: A concept

机译:使用单摄像头和方向传感器的立体视觉自动降落固定翼无人机的概念

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This paper presents concepts and some experiment on UAV automatic landing on any flat area without prior knowledge of (detachable) markers' positions. The process consists of two key notions. First, the UAV approximates 3D positions of four color markers using a single camera stereoscopic scheme. In other words, the aircraft flies and captures images of ground to create depth map of the four markers. Second, it relies on a pose estimation algorithm (here, Homography) to approximate rotational and, especially, translational information between air to ground. What is novel in this concept is z-coordinate of markers on ground can always be normalized based on our kinematic chain. Thus, homography can be used. Additionally, depth estimation using stereo vision with a camera is shown in experimental result. Furthermore, the whole process is also possible without GPS data, which might post problem in some certain situations, e.g. inadequate positioning accuracy for small landing area, or unreliability during warfare.
机译:本文介绍了无人飞行器自动降落在任何平坦区域上的概念和一些实验,而无需事先了解(可拆卸)标记器的位置。该过程包含两个关键概念。首先,UAV使用单个摄像机立体方案来近似估计四个颜色标记的3D位置。换句话说,飞机飞行并捕获地面图像以创建四个标记的深度图。其次,它依赖于姿态估计算法(在这里为Homography)来近似空中与地面之间的旋转信息,尤其是平移信息。这个概念的新颖之处在于,始终可以根据我们的运动学链对地面上标记的z坐标进行归一化。因此,可以使用单应性。此外,实验结果显示了使用相机的立体视觉进行的深度估计。此外,没有GPS数据的整个过程也是可能的,在某些情况下,例如GPS可能会出现问题。对于较小的着陆区域,定位精度不足,或者在作战过程中不可靠。

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