UAV decision-making for maritime rescue based on Bayesian Network

This paper presents a mission decision-making model based on Bayesian Network for rescue problems in the complex marine environment. In this model, child nodes are various uncertain factors at sea, factors of rescue points and factors of USV (Unmanned Surface Vessel). Then we take these child nodes as observation nodes, thus we can calculate the probabilities of every rescue points and UAV (Unmanned Aerial Vehicle) mission decision-making can be achieved. From simulation, it proved the validity of this model.