Abstract
The recognition of UAV pilot training actions using artificial intelligence methods can effectively improve the intelligence level of UAV pilot training ability assessment. Based on the flight characteristics of UAV systems, this paper constructs an intelligent recognition model of flight training actions based on dynamic Bayesian network. Combined with the training tasks, the model recognition effect was verified. The results show that the model can accurately recognize different flight phases and typical training actions of UAV, have the advantages of high recognition accuracy and good real-time performance, and effectively improve the training effect of pilots.
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