Binocular vision monitoring method research of wing sweep angles for morphing aircraft in complex climate environments

Abstract

In this paper, a binocular vision monitoring method to obtain the wing sweep angle of morphing aircraft in complex environments is proposed. Firstly, a binocular vision system is constructed and the relative testing error of the system is verified to be 0.89 %. Subsequently, experiments on mark detection in rain, fog, and ice environments are conducted. The Gaussian kernel function gradient detection method and the multi-Gaussian kernel function gradient detection method are proposed for identifying luminous marks in different environments. These two methods can be used to recognize marks in images with low contrast and blurriness. Finally, it has been confirmed that the mark recognition deviation is less than 0.82 pixels and 2.22 pixels in rain and fog environments, respectively. In the ice environment, the deflection angle deviation of the ice-covered mark is verified to be less than 0.40°. All the experimental results verify the effectiveness and feasibility of the method proposed in this paper.