Nov 2, 2006 · BNs are based on a rigorous theory which facilitates (i) analysis of the robustness of fusion systems and (ii) monitoring of the fusion quality.

Modern situation assessment and controlling applications often require efficient fusion of large amounts of heterogeneous and uncertain information.

Abstract. Modern situation assessment and controlling applications often require efficient fusion of large amounts of heterogeneous and uncertain ...

This strategy increases the probability to reach a 20 cm accuracy from 50% (conventional IR-UWB and WiFi PF) to 90%. Published in: 2017 IEEE International ...

In this paper, a novel robust Bayesian network is proposed for process modeling with low-quality data.

In this paper, a robust sensor fusion method is proposed where the measurement noise is modeled by a Student-t distribution. The Student-t distribution has ...

This work proposes a novel robust fusion method to combine multiple Bayesian semantic predictions and shows that considering the model's uncertainty and ...

This paper discusses the properties of Bayesian networks (BNs) in the context of accurate state estimation. We focus on a relevant class of problems where ...

This study introduces new information fusion algorithms to enhance disease surveillance systems with Bayesian decision support capabilities.

This paper discusses the properties of Bayesian networks (BNs) in the context of accurate state estimation. We focus on a relevant class of problems where ...