Optimization of Multisensor Information Fusion
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Graphical Abstract
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Abstract
Multisensor information fusion refers to any procedure where different sources of sensory data in the integration process are combined into one representational format.Using the concept of confidence distance estimation,the measured errors of sensors are tested and the support relations among sensors are described.Whether the data of sensors are used are decided.One optimal fusion algorithm is presented,which is proved to be effective.
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