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A Passive On-board Sense Avoid System For Tactical UAVs

机译:战术无人机的无源机载感知和回避系统

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The problem of detecting, sensing and avoiding other aircraft during flight is a crucial challenge, that has to be overcome before the civil aviation authorities permit unmanned aerial vehicles to fly in civil airspace. For manned aircraft this task is performed by the pilot. Therefore e. g. the FAA states in its directive 7610.4J that UAVs must provide an "equivalent level of safety, comparable to see-and-avoid requirements for manned aircraft" to operate in national airspace. Up to now, this defines the lower threshold of a sense-and-avoid capability for unmanned aerial vehicles. On the other hand there are several technologies providing a performance that is clearly beyond. Constraints come into play w. r. t. to restrictions on on-board space, power, weight and cost. Particularly for Tactical UAVs these limitations have a severe influence on performance. In close cooperation with RUAG Aerospace BGT has developed an approach for the RANGER UAV for an onboard detect, sense & avoid system able to detect intruding aircraft in an azimuth range of+/- 110° and +/- 30° in elevation. The on-board part of the system consists of several cameras and an image processing module able to detect and track multiple aircraft simultaneously in real-time. Whereas the system in a first stage displays and reports intruding aircraft in the ground control station in a second stage the on-board processing enables the computation of optimal escape trajectories and could therefore plan and execute autonomous evasion maneuvers via direct link to the autopilot.
机译:在飞行过程中检测,感知和避开其他飞机的问题是一个至关重要的挑战,在民航当局允许无人驾驶飞机在民用空域飞行之前必须克服这一挑战。对于有人驾驶飞机,此任务由飞行员执行。因此e。 G。美国联邦航空局(FAA)在其7610.4J指令中指出,无人机必须提供“同等的安全水平,可与有人驾驶飞机的视而不见要求相媲美”,才能在国家领空运行。到目前为止,这定义了无人驾驶飞机的感知和回避能力的下限阈值。另一方面,有几种技术提供的性能显然超出了。约束开始起作用。河t。限制车载空间,功率,重量和成本。特别是对于战术无人机,这些局限性严重影响了性能。在与RUAG航空航天公司的紧密合作下,BGT为RANGER无人机开发了一种方法,用于机载检测,感知和避开系统,能够检测到仰角为+/- 110°和+/- 30°的侵入飞机。该系统的机载部分包括多个摄像头和一个图像处理模块,该模块能够实时同时检测和跟踪多架飞机。第一阶段的系统在第二阶段显示并报告地面控制站的入侵飞机,而机载处理可以计算最佳逃生轨迹,因此可以通过直接链接至自动驾驶仪来计划和执行自主的逃避机动。

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