TY - JOUR
T1 - Research on situation assessment of UCAV based on dynamic Bayesian networks in complex environment
AU - Cao, Lu
AU - Zhang, An
AU - Wang, Qiang
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
KW - complex environment
KW - dynamic Bayesian networks
KW - situation assessment
KW - UCAV
UR - http://www.scopus.com/inward/record.url?scp=78649558634&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15597-0_7
DO - 10.1007/978-3-642-15597-0_7
M3 - 会议文章
AN - SCOPUS:78649558634
SN - 0302-9743
VL - 6329 LNCS
SP - 58
EP - 68
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
IS - PART 2
T2 - 2010 International Conference on Life System Modeling and Simulation, LSMS 2010 and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010
Y2 - 17 September 2010 through 20 September 2010
ER -