Research on longitudinal transit of air transport vehicles based on computer vision

This paper presents a study on the longitudinal performance of air transport vehicles using computer vision technology. Firstly, the research on binocular stereo vision technology is introduced, including image preprocessing techniques and 3D information recovery techniques. In terms of image preprocessing, methods such as image filtering, histogram equalization, and epipolar rectification are adopted to enhance the quality of binocular images. Then, a mathematical modeling method for the motion of air transport vehicles is proposed, including the modeling of the motion of the front and rear wheels and the front and middle wheels, as well as the investigation of the situations of topping and lifting failures. Finally, the longitudinal performance of air transport vehicles is evaluated through simulation analysis using computer vision. The study shows that the computer vision-based method has certain feasibility and effectiveness in evaluating the longitudinal performance of air transport vehicles. This is of great significance for improving the performance and efficiency of air transport vehicles in the logistics industry.