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Full Mission Simulation of a Rotorcraft Unmanned Aerial Vehicle for Landing in a Non-Cooperative Environment

机译:旋翼飞行器无人驾驶车辆在非合作环境中降落的全部任务仿真

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This paper describes the development and testing of an integrated simulation environment for the autonomous landing of a rotorcraft unmanned aerial vehicle at non-cooperative sites without the aid of GPS. The simulation includes a graphical display element that provides sensor modeling capabilities, a ground station user interface for mission setup and runtime, a vehicle dynamics model and control laws for a Yamaha RMAX, and a mission manager that provides autonomy functions and ties all of these elements together. The mission manager implements a landing procedure that incorporates stereo ranging and safe landing area determination algorithms to identify a suitable obstacle-free landing point, and monocular feature tracking with position estimation algorithms for navigation to the landing point without GPS. Results are reported from a performance evaluation of the individual machine vision algorithms using the simulation, and these results are compared with requirements for autonomous landing flight trials.
机译:本文介绍了在不借助GPS的非合作站点在非合作站点的旋翼飞机无人航空车辆自主着陆的集成仿真环境的开发和测试。该模拟包括一个图形显示元件,提供传感器建模能力,用于任务设置和运行时的地面站用户界面,车辆动态模型和yamaha Rmax的控制法,以及提供自主函数和所有这些元素的任务管理员一起。特派团经理实现了一个登陆程序,该过程包括立体声测距和安全着陆区域确定算法,以识别出合适的无障碍着陆点,以及用位置估计算法进行单眼特征跟踪,用于导航到没有GPS的着陆点。结果来自使用模拟的各机器视觉算法的性能评估,这些结果与自主着陆飞行试验的要求进行了比较。

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