基于机器视觉的无人机着降定位技术研究

Research on UAV Landing Positioning Technology Based on Machine Vision

在本次研究中,我们阐述了数字图像处理和机器视觉技术在无人机着降中的定位测量,并且提出了基于机器视觉无人机着降定位的有效方案,利用DGPS进行无人机引导,将其引导至着降区上空,启动着降系统之后,能够对无人机进行精准定位,将其位置信息传递给控制系统,助降控制系统完成无人机降落。在本次研究中,我们针对助降系统的图像预处理,特征点提取,定位算法进行了探究,采用非线性优化算法,能够对线性解进行优化,获得更为准确的解。

In this study,we expounded the positioning measurement of digital image processing and machine vision technology in the landing of drones,and proposed an effective scheme based on the landing position of machine vision drones,using DGPS for unmanned The machine guides and guides it to the sky above the landing zone.After starting the landing system,it can accurately position the drone,transmit its position information to the control system,and assist the control system to complete the drone landing.In this study,we explored the image preprocessing,feature point extraction,and localization algorithms for the assisted-down system.Using the nonlinear optimization algorithm,we can optimize the linear solution and obtain a more accurate solution.