Abstract
the development of a mathematical model of autonomous guidance for unmanned aerial vehicles based on computer vision is presented. The model uses a nonlinear response function with dynamic variation of the nonlinearity coefficient depending on the distance to the target, which improves the accuracy and stability of unmanned aerial vehicle guidance given different flight conditions and target characteristics. The problem of video frame aspect ratio mismatch is also considered and methods for normalizing the coordinates of the square on the screen to ensure uniform and predicable unmanned aerial vehicle response are proposed. As a result, an improved adaptive mathematical model is developed that provides more efficient motion control for the unmanned aerial vehicle, allowing it to accurately track the target and keep it in the center of the frame under different flight conditions.
Published Version
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