基于微型光电设备的典型靶标形状识别引导

针对无人机回收中采用图像方式进行导航给靶标识别跟踪可靠性带来的巨大挑战,基于多自由度微型光电设备对典型靶标识别引导进行研究,重点研究基于典型靶标对无人机进行视觉引导.通过颜色分割和形状识别快速捕获典型靶标,对靶标进行精确的空间姿态、运动信息测量,结合多自由度微型光电引导设备的空间角位置、角速度等姿态测量信息,计算无人机引导参数,并通过典型靶标识别仿真.结果表明:利用颜色分割和形状识别方法可以快速的捕获靶标,同时结合微型光电设备的测量数据,可以较好地实现无人机引导参数的精确计算.

Typical Target Shape Recognition Guide Based on Miniature Photoelectric Device

The UAV recycling uses image guide which create big challenge to target recognition guide reliability. Research on typical target recognition guide based on multi-degree of freedom miniature photoelectric device. Pay more attention on typical target carrying out visual guide on UAV. Through color segmentation and shape recognition, the typical target is quickly caught, the space gesture and sport information of target are precisely measured, combining with the gesture measurement information such as space angle and angular velocity of multi-degree of freedom miniature photoelectric device, calculate UAV guide parameter, then carry out simulation by typical target recognition. The results show that using color segmentation and shape recognition, and the typical target is quickly caught, combining with the miniature photoelectric device measurement data at the same time, finally realize the precise calculation of UAV guide parameter.