军用无人机事故统计对无人系统研究的启示

2013 IEEE Intelligent Vehicles Symposium (IV) Pub Date : 2013-06-23 DOI:10.1109/IVS.2013.6629628

Stefan Giese, David Carr, J. Chahl

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引用次数: 31

摘要

人为因素，特别是无人驾驶飞行器(UAV)的控制台和控制，在无人驾驶飞行器事故中没有得到足够高的关注。在过去的15年里，美国空军记录了捕食者无人机在操作过程中的事故。通过对这些事故的定量分析，本文将证明人为因素是一个突出的因果和促成因素。我们认为UGV(无人驾驶地面车辆)的人为因素设计可以从这个独特的数据集中学习。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Implications for unmanned systems research of military UAV mishap statistics

Human factors, particularly the consoles and controls of an Unmanned Aerial Vehicle (UAV), have not rated a high enough focus in relation to Unmanned Aerial Vehicle mishaps. The United States Air Force has documented Predator UAV mishaps during their operation over the past 15 years. Through quantitative analysis of these mishaps this paper will demonstrate that human factors have been a prominent causal and contributing factor. We argue that UGV (Unmanned Ground Vehicle) human factors design could learn from this unique dataset.

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2013 IEEE Intelligent Vehicles Symposium (IV)

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