Mission decision-making for UAV under dynamic environment

To carry out automatic mission planning and decision-making in an uncertain environment for unmanned aerial vehicles (UAVs), a model based on structure-varied discrete dynamic Bayesian network (SVDDBN) is proposed. This model is composed of three parts including threat level evaluation, target value assessment and situation assessment, which is the basis of dynamic procedure modeling. According to the evaluative results of the above three parts, the SVDDBN inference algorithm is applied to obtain the current mission decision-making. The results of simulation show that the model meets the need of decision-making under the situation with pop-up threats.