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Mission Performance Evaluation of Low-speed Small Unmanned Aerial Systems using Virtual Range and Stereo Camera Sensors

机译:使用虚拟范围和立体摄像头传感器的低速小型无人机系统的任务性能评估

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Current trends in miniaturization and the requirements of commercialization arc resulting in an increased focus on small Unmanned Aerial Systems (sUASs). However, conceptual design and mission performance of these sUASs remains a costly endeavor requiring multiple iterations. In this paper, a virtual reality framework is used to assess the mission performance of a representative quadrotor. The mission profile considers waypoint navigation through a cluttered forest environment simulated using the MORSE-Blender platform. The performance assessment is carried out for three different range and three different stereo camera sensors with varying specifications. The flight time, power usage, and rate of virtual collisions are recorded during a Monte Carlo simulation to evaluate the mission performance. Hypotheses pertaining to the trade-offs between sensor specifications, mission flight time, distance traveled, collision likelihood, and mission completion are also examined. Results indicate that range sensors are more capable of avoiding obstacles and that two of the three range sensor configurations in the simulations traveled significantly farther than the remaining sensors.
机译:目前小型化的趋势及商业化弧的要求导致了对小无人机系统(SUASS)的重点增加。然而,这些SUAS的概念设计和任务性能仍然是需要多次迭代的昂贵的努力。在本文中,虚拟现实框架用于评估代表性四轮电机的任务性能。任务简介通过使用MORSE-Blender平台模拟的杂乱无章的森林环境来考虑航路点导航。性能评估为三个不同的范围和三种不同的立体声摄像机传感器,具有不同的规格。在蒙特卡罗模拟期间记录虚拟碰撞的飞行时间,电力使用和速率,以评估任务性能。还研究了与传感器规格,任务飞行时间,旅行,碰撞可能性和任务完成的权衡之间有关的假设。结果表明,范围传感器更能避免障碍物,并且模拟中的三个范围传感器配置中的两个显着远比剩余的传感器更远。

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