Recognition of carrier-based aircraft flight deck operations based on dynamic graph  

作　　者：Xingyu GUO Jiaxin LI Hua WANG Junnan LIU Yafei LI Mingliang XU 

机构地区：[1]School of Computer Science and Artificial Intelligence,Zhengzhou University,Zhengzhou 450001,China [2]Engineering Research Center of Intelligent Swarm Systems,Ministry of Education,Zhengzhou 450001,China [3]National Supercomputing Center in Zhengzhou,Zhengzhou 450001,China [4]School of Geo-Science&Technology,Zhengzhou University,Zhengzhou 450001,China

出　　处：《Chinese Journal of Aeronautics》2025年第3期474-490,共17页中国航空学报(英文版)

摘　　要：Accurate recognition of flight deck operations for carrier-based aircraft, based on operation trajectories, is critical for optimizing carrier-based aircraft performance. This recognition involves understanding short-term and long-term spatial collaborative relationships among support agents and positions from long spatial–temporal trajectories. While the existing methods excel at recognizing collaborative behaviors from short trajectories, they often struggle with long spatial–temporal trajectories. To address this challenge, this paper introduces a dynamic graph method to enhance flight deck operation recognition. First, spatial–temporal collaborative relationships are modeled as a dynamic graph. Second, a discretized and compressed method is proposed to assign values to the states of this dynamic graph. To extract features that represent diverse collaborative relationships among agents and account for the duration of these relationships, a biased random walk is then conducted. Subsequently, the Swin Transformer is employed to comprehend spatial–temporal collaborative relationships, and a fully connected layer is applied to deck operation recognition. Finally, to address the scarcity of real datasets, a simulation pipeline is introduced to generate deck operations in virtual flight deck scenarios. Experimental results on the simulation dataset demonstrate the superior performance of the proposed method.

关 键 词：Carrier-based aircraft Flight deck operation Operation recognition Long spatial-temporal trajectories Dynamic graph Biased random walk Graph embeddings 

分 类 号：V271.1[航空宇航科学与技术—飞行器设计]