Research of Selective and Incremental Information Fusion Method Based on Bayesian Network

摘要

This paper presents a selective incremental information fusion method based on Bayesian network, so that the fusion algorithm can actively select the most relevant information and decision-making, and can make the fusion model to adapt to the dynamic changes in the external environment, and sensor information selection, fusion, decision-making integrated in the framework of Bayesian network. The experimental results show that this method is better than the traditional method.