The enemy air-threat prediction based aircraft real-time path planning for offshore combat

In order to satisfy the high dynamic, hard real-time requirement of future battlefield, an artificial intelligence frame work was discussed in this paper. An enemy aircraft threat prediction method using the deep learning network CNN (Convolutional Neural Network) based on the CATIA 3D model and its 2D screenshots is introduced. A real time path planning method using PNN (Probabilistic Neural Network) based on genetic algorithm and the threat prediction would provide flight path online. The simulation results showed that the offshore mission planning problems could be effectively solved by the frame work. More probable study directions were discussed.