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Quantifying situation awareness for small unmanned aircraft Towards routine Beyond Visual Line Of Sight operations

机译:量化小型无人驾驶飞机的情况意识迈向常规超越视线行动

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摘要

A novel statistical model is presented to quantify situation awareness in the operation of small\udcivilian Unmanned Aircraft Systems (UAS). Today, the vast majority of small UAS operation\udtakes place under Visual Line Of Sight (VLOS) of a human operator, who is wholly\udresponsible for the safety of the flight. As operation begins to move to Beyond Visual Line\udOf Sight (BVLOS), it is likely that this responsibility will become shared between operator\udand the increasingly autonomous UAS itself. Before we seek to quantify the safety of such a\udsystem, it is beneficial to analyse the safety of existing VLOS operations to provide a target\udlevel of safety. Prior to considering any on-board decision making, it is essential to ensure that\udthe artificial situation awareness system of a UAS in BVLOS is at least as good as awareness\udof a human operator. The paper provides a probabilistic theory and model for the high level\udabstractions of situation awareness to guide future assessment of BVLOS operations.\ud
机译:提出了一种新颖的统计模型,用于量化小型\ udcivilian无人飞机系统(UAS)运作中的态势感知。如今,绝大部分的小型UAS操作\取放都在人工操作员的视线(VLOS)之下,该操作员完全\对飞行安全负责。随着操作开始转移到“视线范围之外”(BVLOS),运营商和日益自治的UAS自身之间的责任有可能会分担。在我们试图量化这种安全系统之前,分析现有VLOS操作的安全性以提供安全的目标安全级别是有益的。在考虑任何机载决策之前,必须确保BVLOS中的UAS的人工情况感知系统至少与操作员的感知一样好。本文为高水平的态势感知提供了概率理论和模型,以指导BVLOS作战的未来评估。

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