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The Flight Guardian: Autonomous Flight Safety Improvement by Monitoring Aircraft Cockpit Instruments

机译:飞行卫士:通过监控飞机驾驶舱仪器改进自主飞行安全

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摘要

During in-flight emergencies, a pilot’s workload increases significantly and it is often during this period of increased stress that human errors occur that consequently diminish the flight safety. Research studies indicate that many plane crashes can be attributed to ineffective cockpit instrument monitoring by the pilot. This manuscript entails the development of Flight Guardian(FG) system being first of its kind that aims to provide efficient flight-deck awareness to improve flight safety while assisting the pilot in abnormal situations. The system is intended to be used in older aircrafts that cannot easily or cost effectively be modified with modern digital avionic systems. One of the important feature of FG system being not physically connected to the aircraft, avoids any impact on airworthiness or the need for re-certification. For the first time, a composite of techniques including video analysis, knowledge representation, and machine belief representations are combined to build a novel flight-deck warning system. The prototype system is tested in both; simulation based Lab and real flight environments under the guidance of expert pilots. The overall system performance is evaluated using statistical analysis of experimental results that proved the robustness of proposed methodology in terms of automated warning generation in hazardous situations.
机译:在机上紧急情况下,飞行员的工作量会显着增加,并且在此期间,压力往往会增加,从而导致人为失误,从而降低飞行安全性。研究表明,许多飞机失事都可归因于飞行员对驾驶舱仪器的监视不力。该手稿需要开发“飞行守护者”(FG)系统,该系统旨在提供有效的飞行甲板意识,以提高飞行安全性,同时在异常情况下为飞行员提供帮助。该系统旨在用于无法通过现代数字航空电子系统轻松或经济有效地进行改造的老式飞机。 FG系统的重要特征之一是未物理连接至飞机,避免了对适航性或重新认证的任何影响。第一次,将包括视频分析,知识表示和机器信念表示在内的多种技术组合起来,构建了新颖的驾驶舱预警系统。原型系统都在这两个系统中进行了测试;在专家飞行员的指导下,基于仿真的实验室和实际飞行环境。使用对实验结果的统计分析来评估整个系统的性能,该结果证明了所提出方法在危险情况下自动生成警报方面的鲁棒性。

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