Identification of deviations of unmanned aerial vehicles by parallax images

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

The article is devoted to the study of the identification of deviations of unmanned aerial vehicles from overlapping images of the underlying surface without determining the parameters of their mutual orientation. For this purpose, a mathematical model has been developed that establishes a functional relationship between the parallax differences of overlapping images and the deviation parameters of unmanned aerial vehicles. In this case, all possible types of deviations and options for their combinations are taken into account. Studies have been carried out and estimates of the influence of deviations on the magnitude of the change in the parallaxes of overlapping images have been obtained. The results obtained allowed us to conclude that during the flight of unmanned aerial vehicles it is possible to automatically identify and evaluate their allowable deviations from a given trajectory using the parallaxes of overlapping images without determining the parameters of their mutual orientation.
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利用视差图像识别无人机的偏差
本文研究了在不确定相互方向参数的情况下,从下垫面重叠图像中识别无人机偏差的问题。为此,建立了重叠图像视差差与无人机偏差参数之间的函数关系的数学模型。在这种情况下,考虑了所有可能的偏差类型及其组合的选项。已经进行了研究,并估计了偏差对重叠图像视差变化幅度的影响。得到的结果使我们得出结论,在无人机飞行过程中,可以使用重叠图像的视差自动识别和评估其与给定轨迹的允许偏差,而无需确定其相互方向的参数。
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