Recursive Variational Bayesian Inference to Simultaneous Registration and Fusion

[摘要] In this paper, we propose a novel simultaneous registration and fusion approach for tracking. This method is based on a recursive Variational Bayesian (RVB) algorithm, which is the online variant of the Variational Bayesian (VB) approach. Under the Bayesian framework, the states and parameters are recursively estimated. It is shown by simulation that the proposed RVB method has better estimation performance than the conventional approach.

[学科分类] 自动化工程

[关键词] Sensor Registration;Sensor Fusion;Recursive Variational Bayesian