Identification of unmanned aerial vehicle flight situation

V. Kharchenko, N. Kuzmenko, I. Ostroumov
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引用次数: 22

Abstract

The problem of unmanned aerial vehicle flight situation identification was considered. Classification of flight situation includes five classes according to the degree of danger. The classification is based on the value of parameters deviation from planed values. Proposed approach takes into account different types of unmanned aerial vehicles that makes it universal for each flight task. As a result, identification of the current flight situation increases situation awareness of a pilot and insures the required level of flight safety.
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无人机飞行态势识别
研究了无人机飞行态势识别问题。飞行情况的分类根据危险程度分为五个等级。根据参数与规划值的偏差值进行分类。该方法考虑了不同类型的无人机,使其适用于各种飞行任务。因此,对当前飞行情况的识别提高了飞行员的情况意识,并确保了所需的飞行安全水平。
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