UAV autonomy evaluation based on multi-factors fuzzy evaluation

Z. Shuai, Li Xue-ren, Zhang Peng, Guo Qing
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引用次数: 2

Abstract

For solving the problem UAV how to choose the planning way when facing pop-up threats, we propose a method to choose base on UAV autonomous level. We adopt multi-factor fuzzy comprehensive evaluation model to evaluate UAV autonomy and set up the autonomy evaluation index model which contains 3 first level indexes that are UAV's planning capacity, the operator working conditions, UAV's threat perception and 9 secondary level indexes that are planning accuracy and so on, according to UAV characteristic and the degree of interaction with the outside. Example is verified and the results prove the correctness of the method we proposed.
基于多因素模糊评价的无人机自主性评价
针对无人机在面对弹出式威胁时如何选择规划方式的问题,提出了一种基于无人机自主程度的选择方法。采用多因素模糊综合评价模型对无人机的自主性进行评价,根据无人机的特点和与外界的互动程度,建立了包含无人机规划能力、操作者工况、无人机威胁感知等3个一级指标和规划精度等9个二级指标的自主性评价指标模型。算例验证了所提方法的正确性。
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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