无人机着舰红外视景导航

Shipboard Landing of UAV using Infrared Vision Navigation

舰载无人机着舰回收是整个飞行中事故率最高的一个环节。美国率先研究利用机载无源红外成像传感器和P3P（三点透视姿态估计问题）算法求解相对距离和方向的原理，实现无人机红外视景导航。本文对这种无人机自主着舰红外视景导航过程、飞行试验及其结果进行了介绍分析。从分析和飞行试验可以看出，远距离时，利用机载红外视景导航引导无人机发形识别甲板，并自主进近，近距离时辅以无线电遥控进彬撞网回收，是无人机回收着舰的有效途径。

The shipboard landing of an UAV is the most serious part prone to accidents during the whole flight process. An airborne passive infrared imaging sensor and P3P algorithm are used to find out relative distance and directions, and realize the infrared vision navigation of an UAV in America. This paper introduces and ana- lyzes autonomous infrared vision navigation process, flight experimentation and results during shipboard landing. The analysis result shows an effective way for UAV shipboard landing, i.e. airborne infrared vision navigation guiding UAV to find/recognize deck in long range and radio aids for ship-approach/net recovery in near range.