Unlike traditional radio-controlled planes, unmanned aerial vehicles, or U.A.V. 's, have the capacity for autonomous flight and navigation.
不像传统的无线遥控飞机，无人驾驶航空器可以自主飞行和导航。
Aerial photography is an intergrated systems engineering, which relates to much procedure to be assorted with and which includes not only the navigation, but also the flight plan.
航空摄影是一项涉及多组织多工序协调作业的综合性系统工程，不仅涉及飞行摄影，而且包括技术性很强的规划设计工作。
The UAV aerial images have fine resolution. The main problem of the UAV image aided navigation is how to pick-up the main character and reduces the calculation cost.
无人机航拍图像具有很高分辨率，如何提取主要特征并降低计算代价是无人机图像匹配辅助导航的主要问题。
An evolutionary computation method is utilized to design a hierarchical and off-line path planner for multiple Unmanned Aerial Vehicles (UAV) coordinated navigation in known static environments.
提出了一种在已知静态环境下利用进化计算实现多无人飞行器的分层离线协同航迹规划方法。
An evolutionary computation method is utilized to design a hierarchical and off-line path planner for multiple Unmanned Aerial Vehicles (UAV) coordinated navigation in known static environments.
提出了一种在已知静态环境下利用进化计算实现多无人飞行器的分层离线协同航迹规划方法。
应用推荐