基于机器视觉的飞机客梯车定位技术在机场的研究与应用

Research and Application of Aircraft Passenger Elevator Positioning Technology Based on Machine Vision in Airports

随着机器视觉技术不断地发展与完善,其所应用的领域也随之扩大。本文将机器视觉技术融入到机场特种车辆中,采用双目立体视觉技术,通过左、右摄像机对图像采集,并进行后续的处理分析,将客梯车与飞机舱门位姿关系确定下来,进而规划出一条行驶路线以提高靠机对接舱门的效率。同时,由于该机器视觉技术能够移植应用在机场其他的对接型特种车辆上面,因此,若将所有地面特种车辆加装视觉系统后,可以实现机场地面特种车辆的智能化与自动化,不仅能够减少对接飞机的工作时间,也能够对机场地面特种车辆之间的协同工作和调度进行优化,从而提高机场整体工作效率。

With the continuous development and improvement of machine vision technology,its application field also expands.In this paper,machine vision technology is integrated into airport special vehicles,and binocular stereo vision technology is used to collect images through left and right cameras for subsequent processing and analysis.The relationship between the position and attitude of the passenger elevator and the aircraft cabin door is determined,and a driving route is planned to improve the efficiency of docking the cabin door.At the same time,because this machine vision technology can be transplanted and applied to other docking special vehicles in the airport.If all ground special vehicles are equipped with a vision system,the intelligence and automation of airport ground special vehicles can be realized,which can not only reduce the working time of docking aircraft,but also optimize the collaborative work and scheduling between airport ground special vehicles,thus improving the overall work efficiency of the airport.