会议专题

Research on Situation Assessment of UCAV Based on Dynamic Bayesian Networks in Complex Environment

UCAV is an inevitable trend of the future intelligent and uninhabited flight platform. Situation assessment (SA) is an effective method to solve the problem of the autonomous decision-making in UCAV investigation. The concepts, contents and process of SA are put forward and the methods about the implementation of SA are analyzed. Then the concept and inference of dynamic Bayesian networks (DBN) are introduced, and SA configuration of UCAV autonomous decision system is given. Finally, the SA is applied to the UCAV autonomous decision system, especially SA based on DBN is used and the model is propounded. The simulation result indicates that the inference results are consistent with the theoretical analysis. The subjectivity of the assessment is reduced and the accuracy is greatly improved.

situation assessment UCAV dynamic Bayesian networks complex environment

Lu Cao An Zhang Qiang Wang

Department of Electronic and Information, Northwestern Ploytechnical University,Xian 710129, China

国际会议

International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

无锡

英文

58-68

2010-09-17(万方平台首次上网日期,不代表论文的发表时间)