基于地基多传感器融合的无人机自主着陆引导方法

针对无人机自主着陆过程中卫星导航系统易被干扰的问题，提出了一种基于地基多传感器融合的无人机自主着陆引导方法。首先采用主动式激光照射的方式，获取机载反射棱镜的近红外成像，在红外图像中对无人机目标进行识别；然后通过坐标转换将识别结果映射到可见光图像中，在可见光图像中选择的感兴趣区域进行可见光目标识别，从而在降低计算量的基础上获得更加精确的无人机相对角度信息；最后利用距离测量信息和引导系统角度信息可以获得精确的无人机相对位置。无人机着陆引导试验结果表明，该方法能够提供精确的无人机位置信息，能有效适应于复杂背景下的无人机自主着陆引导。

A Ground Multisensory Fusion-based Guidance Approach for Unmanned Aerial Vehicles Autonomous Landing

A ground multisensory fusion-based approach is proposed for the guidance of unmanned aerial vehicles (UAVs) landing in global navigation satellite system (GNSS) denied environments. Firstly, an active laser transmitter is used to irradiate the UAV. The light spot in the obtained infrared images reflected by the airborne reflection prism is recognized as the UAV. Then, a region of interest is defined in the visible-light image by coordinate transformation according to the result of the infrared image. To reduce the computation complexity, the UAV is detected and located in the region of interest. Finally, the relative position of the UAV can be obtained by combining the distance measurement and the angle of the pan-tilt unit. Results of flight experiments demonstrate the effectiveness of the proposed approach.