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Active and dynamic multi-sensor information fusion method based on dynamic bayesian networks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to improve the dynamic optimization capability and fault-tolerant ability of the information fusion method for multi-sensor system, the theory of Dynamic Bayesian Networks was used to rebuild the conventional Federated Kalman Filter in this paper, and a new kind of active and dynamic information fusion and optimization method for multisensor systems under high-dynamic situation was proposed. The simulation results indicated the high dynamic flexibility and fault-tolerant ability of the proposed method.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Pages3076-3080
Number of pages5
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009 - Changchun, China
Duration: 9 Aug 200912 Aug 2009

Publication series

Name2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009

Conference

Conference2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009
Country/TerritoryChina
CityChangchun
Period9/08/0912/08/09

Keywords

  • Dynamic bayesian networks
  • Dynamic information fusion
  • Multi-sensor system

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