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Critical subsystem failure mitigation in an indoor UAV testbed

机译:室内无人机试验台中关键子系统故障的缓解

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An autonomous safety mechanism is presented, as implemented in an indoor flying vehicle research testbed. The safety mechanism relies on integration of onboard gyroscope measurements and thrust commands to estimate the vehicle state for short lengths of time. It is used in the case of loss of external control signal or loss of external measurement data, to reduce the likelihood of a vehicle crash, or at least reduce the severity of an unavoidable crash. As UAVs move into ever more mainstream applications with increased public interaction, such safety systems become more critical.
机译:提出了一种自主安全机制,该机制可在室内飞行器研究试验台中实现。该安全机制依靠机载陀螺仪测量值和推力命令的集成来在短时间内估算车辆状态。它在外部控制信号丢失或外部测量数据丢失的情况下使用,以减少车辆撞车的可能性,或至少降低不可避免的撞车的严重性。随着无人机随着越来越多的公众互动进入越来越主流的应用中,这样的安全系统变得越来越重要。

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