摘要：AbstractIn this paper, the behavior decision method of low-speed unmanned industry park vehicle is mainly based on finite state machine, whose core is to determine the boundary conditions of state transition, to guide the finite state machine to switch the correct behavior mode and output correct target behavior. An uncertain behavioral decision making method is proposed in this paper. The confidence of the vehicle’s current state relative to the boundary condition of the behavior decision is taken as the judgment basis of the decision. The Bayesian reasoning method and the DS evidence theory are integrated to solve the problem that the boundary of the finite state machine is too clear and the behavior mode switching is more mechanical to a certain extent.
关键词：KeywordsUnmanned VehicleDecision-making SystemUncertainty InformationFinite State MachineDS Evidence TheoryBayesian Reasoning
