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Camera Calibration for UAV Ground Feature Localization

机译:UAV地面功能定位的相机校准

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This paper describes a method to calibrate the geometric position and orientation of a camera mounted onto the underside of an unmanned aerial vehicle (UAV). The method takes as input multiple images captured in flight of a stationary ground feature for which GPS coordinates are known. The UAV's location and pose during each image capture is assumed known from on-board GPS and IMU devices. The ground feature's pixel coordinates in each image are also known (obtained using image processing or by inspection). Using these inputs, the described method uniquely determines the camera's relative position/orientation with respect to the UAV using a nonlinear root-finding algorithm. The method represents a simple, yet effective, calibration procedure that uses information that is readily obtained from a typical UAV flight. Results from test flight experiments are presented.
机译:本文介绍了一种校准安装在无人机(UAV)下侧的相机的几何位置和方向的方法。该方法用作在静止地特征飞行中捕获的输入多个图像,其已知GPS坐标。假设从板载GPS和IMU设备中清楚了UAV的位置和姿势。还已知每个图像中的地面特征的像素坐标(使用图像处理或通过检查获得)。使用这些输入,所描述的方法使用非线性根发现算法唯一地确定相机的相对位置/方向相对于UAV。该方法表示使用从典型的UAV飞行中容易地获得的信息的简单且有效的校准过程。提出了试验实验的结果。

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