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Vulnerability of UAV Sense and Avoid to Exploitations: Non-Cooperative Trajectory Modifications

机译:无人机感知的脆弱性和避免被剥削:非合作弹道修改

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This work shows how sense and avoid algorithms proposed for autonomous Unmanned Aerial Vehicles (UAV) can potentially be exploited to modify their trajectory as desired. In particular, it is shown that a UAV equipped with ADS-B based collision avoidance can be forced to follow any trajectory by at most two malicious (real or hoaxed) UAVs. The well known Velocity Obstacle method has been used as basis for the collision avoidance algorithm, but similar result could be obtained with different methods. This vulnerability shows the need for trustworthy GNC algorithm design for control of the autonomous systems that will crowd the future skies.
机译:这项工作表明如何为自动无人驾驶飞机(UAV)提出的感知和避免算法可以潜在地用于根据需要修改其轨迹。特别地,示出了配备有基于ADS-B的碰撞避​​免功能的无人机可以被最多两个恶意(真实或骗人的)无人机强制遵循任何轨迹。众所周知的“速度障碍”方法已被用作避免碰撞算法的基础,但是使用不同的方法可以获得类似的结果。此漏洞表明需要可靠的GNC算法设计来控制将挤满未来天空的自治系统。

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