Real-time route planning for UAV swarm based on DDQN
A DDQN-based real-time route planning algorithm is proposed for UAV swarm navigation for ur-ban mission complex environments.Firstly,the UAV swarm route planning system model is given by unified modeling of threats,obstacles,etc.Next,the UAV sensor detection information is used as the state input of the deep neural network.Finally,the energy cost and success rate of UAV route planning are optimized.Simulation results show that the algorithm is effective and practical.
万方数据
维普
