Cited By
View all- Lu KSun CFu QZhu Q(2019)Heterogeneous sensor fusion based on Copula theory and importance samplingIET Radar, Sonar & Navigation10.1049/iet-rsn.2019.013213:11(1943-1950)Online publication date: Nov-2019
The purpose of data fusion is to produce an improved model or estimate of a system from a set of independent data sources. There are various multisensor data fusion approaches, of which Kalman filtering is one of the most significant. Methods for Kalman ...
For multisensor systems with exactly known local filtering error variances and cross-covariances, a covariance intersection (CI) fusion steady-state Kalman filter without cross-covariances is presented. It is rigorously proved that it has consistency, ...
In this paper, we propose a special Multi-class SVMs (MSVM) data fusion strategy which is applied to classify vehicle based on multiple pavement structural strain time histories. The centralized and distributed fusion strategies are applied to combine ...
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