Research on situation assessment of UCAV based on dynamic Bayesian networks in complex environment

Authors:
Lu Cao;An Zhang;Qiang Wang
Affiliations:
Department of Electronic and Information, Northwestern Ploytechnical University, Xi'an, China;Department of Electronic and Information, Northwestern Ploytechnical University, Xi'an, China;Department of Electronic and Information, Northwestern Ploytechnical University, Xi'an, China
Venue:
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Year:
2010

Citing 2
Cited 0

Dynamic bayesian networks: representation, inference and learning

Dynamic bayesian networks: representation, inference and learning
Probabilistic Reasoning Techniques for Situation Assessments

ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.