@inproceedings{0433d5a9caee40dbbfad66b769827b24,
title = "Active and dynamic multi-sensor information fusion method based on dynamic bayesian networks",
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.",
keywords = "Dynamic bayesian networks, Dynamic information fusion, Multi-sensor system",
author = "Pengxin Han and Rongjun Mu and Naigang Cui",
year = "2009",
doi = "10.1109/ICMA.2009.5246072",
language = "英语",
isbn = "9781424426935",
series = "2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009",
pages = "3076--3080",
booktitle = "2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009",
note = "2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009 ; Conference date: 09-08-2009 Through 12-08-2009",
}