无人作战系统任务理解综述

Qi Liu, Jia Zhang, Bin Xin, Hao Zhang
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引用次数: 1

摘要

无人作战系统作为颠覆未来战争规则的新型武器,一直是各军事大国研究开发的重点。为了实现人与无人系统之间有效的作战协调,对无人作战系统的任务理解至关重要。针对无人作战系统任务理解问题,首先讨论了任务理解的基本概念和意义,然后对现有的无人作战系统任务理解方法进行了总结和分析,提出了无人作战系统任务理解的一般过程和基于深度学习的任务理解框架,该过程定义了输入、输出和触发条件。基于深度学习的框架能够处理复杂的作战情况,对无人作战系统的任务理解具有一定的参考意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overview of Task Understanding of Unmanned Combat Systems
Unmanned combat systems, as new weapons to overturn the rules of future war, have been the focus of research and development of military powers. To realize the efficient combat coordination between human and unmanned systems, the task understanding of unmanned combat systems is critical. Concerning the task understanding problems of unmanned combat systems, the basic concepts and significance are first discussed Then the existing methods for the task understanding of unmanned systems are summarized and analyzed A general process of the task understanding of unmanned combat systems and a task understanding framework based on deep learning are proposed The process defines the inputs, outputs, and triggering conditions. The deep learning based framework is capable of dealing with complex combat situations, which has certain reference significance for the task understanding of unmanned combat systems.
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