An Event-Driven Based Multiple Scenario Approach for Dynamic and Uncertain UAV Mission Planning

In this paper, a Dynamic and Uncertain Unmanned Aerial Vehicle Mission Planning(DUUMP) is considered. New targets reveal stochastically during the mission execution and the surveillance benefit of each target is a random variable. To deal with this problem, an Event-driven based Multiple Scenario Approach(MSA) is developed. Experiment studies show that the Event-driven based MSA can solve the DUUMP effectively and efficiently with quick system responsiveness and high quality solution, which shows its practical value for real world applications.