The Hierarchical Recognition Method of Autonomous Air Tactical Operation of Unmanned Combat Aircraft

Zhao, Kexin; Huang, Changqiang

doi:10.1145/3208854.3208878

Proceedings of the 7th International Conference on Informatics, Environment, Energy and Applications 2018

DOI: 10.1145/3208854.3208878

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The Hierarchical Recognition Method of Autonomous Air Tactical Operation of Unmanned Combat Aircraft

Kexin Zhao

Changqiang Huang

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2023

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Cited by 1 publication

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A hierarchical aggregation model for combat intention recognition

Weigang

et al. 2023

JNWPU

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Combat intent recognition refers to analyzing the enemy target's state information to interpret and judge the purpose of the enemy. With the increased knowledge of combat platforms, these time-series enemy state presents multi-dimensional and massive characteristics. Using neural networks to learn enemy state information has become a research trend in the face of such traits. To address these challenges, we propose a hierarchical aggregation model to recognize the intention of the target. The bottom layer of our model is based on convolutional neural network(CNN) to perceive behavior features, and the middle layer is based on Bi-LSTM(Bi-directional long short-term memory) to aggregate the long-time interdependence information between sub-intentions. The top layer focuses on higher-level features that contribute more to the recognition of intent through the attention mechanism and finally combines the global information to recognize the intention. Extensive experimental results show the superiority of our model in that the recognition accuracy achieves 88.83%, which can solve the problem of identifying air target intent on the modern battlefield.

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A hierarchical aggregation model for combat intention recognition

Weigang

et al. 2023

JNWPU

View full text Add to dashboard Cite

show abstract

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The Hierarchical Recognition Method of Autonomous Air Tactical Operation of Unmanned Combat Aircraft

Cited by 1 publication

References 6 publications

A hierarchical aggregation model for combat intention recognition

A hierarchical aggregation model for combat intention recognition

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