Determination of changes in the trajectory and orientation of unmanned aerial vehicles from overlapping images

V. G. Andronov, A. A. Chuev
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Abstract

The article considers a method for determining abnormal changes in the trajectory and orientation of unmanned aerial vehicles in the conditions of loss of signals from satellites in the interests of improving the accuracy of navigation support for their exit to a given point of the horizontal flight route. The developed technique is based on the functional relationship of the difference in parallaxes of adjacent pairs of images obtained by the onboard camera of unmanned aerial vehicles during flight, with their deviations from the horizontal trajectory and changes in orientation. The obtained analytical relations allow for each corresponding point of a pair of images to form and solve a system of two nonlinear equations with five unknowns, which use deviations of unmanned aerial vehicles in altitude and direction of flight and their pitch, roll and yaw angles, approximate values of which are determined by the inertial navigation system. The procedures for the refinement of these parameters based on the math-ematical processing of the measurement results of the plane coordinates of the corresponding points by the method of least squares are presented. The proposed approach makes it possible to halve the minimum number of processed points and ensures the accuracy of determining the deviations of unmanned aerial vehicles from the horizontal trajectory and changes in its angular orientation, commensurate with the accuracy of satellite navigation.
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从重叠图像中确定无人机的轨迹和方向变化
本文研究了一种在卫星信号丢失的情况下确定无人机轨迹和方向异常变化的方法,以提高无人机在水平飞行路线给定点上退出的导航支持精度。该技术基于无人机机载相机在飞行过程中获取的相邻图像对视差差与偏离水平轨迹和方向变化之间的函数关系。所得到的解析关系允许一对图像的每个对应点形成并求解两个五未知数非线性方程组,该方程组使用无人机在飞行高度和方向上的偏差以及它们的俯仰角、横摇角和偏航角,其近似值由惯性导航系统确定。在用最小二乘法对相应点平面坐标测量结果进行数学处理的基础上,给出了这些参数的细化步骤。该方法使最小处理点数量减半成为可能,并保证了确定无人机偏离水平轨迹和角度方向变化的精度与卫星导航精度相当。
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