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See-and-avoid comparison of performance in manned and remotely piloted aircraft

机译:有人驾驶和遥控飞机性能的视而不见比较

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摘要

See-and-avoid is the current FAA approved method for pilots to avoid objects and other aircraft while flying in visual meteorological conditions (VMC). Although fully autonomous “sense-and-avoid” or “detect-and-avoid” systems are in development, none are currently certified. Thus existing unmanned aerial vehicle (UAV) operations are limited to case-by-case restricted airspace or require escort by manned aircraft [1,2]. Many UAVs are equipped with at least a forward-looking camera. In the transition between current technology and future fully autonomous, certified sense-and-avoid systems, it seems reasonable to require a ground-based operator to perform the see-and-avoid function. This discusses the flight-testing performed to establish air traffic detection ranges for low-time pilots, and for a low-cost UAV camera system. The system was evaluated to determine if it could provide the equivalent see-and-avoid performance as the tested pilots.
机译:“视而不见”是美国联邦航空局(FAA)当前批准的方法,飞行员在视觉气象条件(VMC)下飞行时避开物体和其他飞机。尽管正在开发完全自主的“避免和感知”或“检测并避免”系统,但目前尚未通过任何认证。因此,现有的无人飞行器(UAV)操作仅限于逐案限制的空域或需要有人驾驶飞机护航[1,2]。许多无人机至少配备了前视摄像头。在当前技术与未来的完全自动化的,经过认证的“避免”系统之间的过渡中,要求地面操作员执行“避免”功能似乎是合理的。本文讨论了为建立低时间飞行员和低成本无人机摄像头系统的空中交通检测范围而进行的飞行测试。对系统进行了评估,以确定它是否可以提供与测试飞行员相同的“躲避”性能。

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