未知环境下自主导航是无人作战飞机(UCAV)认知导航系统需解决的核心问题.对UCAV SLAM进行研究.首先对航空SLAM运动模型和观测模型的建立进行了分析,然后介绍了UCAV SLAM中涉及的滤波技术,最后总结了UCAV SLAM中需解决的关键问题,为UCAV实现未知环境下的自主导航开阔了思路.
Autonomous navigation in unknown environment is the core problem needed to be solved in unmanned combat aerial vehicle(UCAV) cognitive navigation system. The UCAV simultaneous locali- zation and mapping(SLAM) is studied. Firstly, the vehicle model and Observation model of airborne SLAM are analyzed. Secondly, some filtering technologies in UCAV SLAM are introduced. Finally, the key issues in UCAV SLAM are summarized. So, this research widens the idea of realizing autonomous navigation for UCAV in unknown environment