文章基本信息

标题：Recursive Variational Bayesian Inference to Simultaneous Registration and Fusion
作者：Hao Zhu ; Jinsong Hu ; Henry Leung 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2016
卷号：13
期号：3
页码：124
DOI：10.5772/64012
语种：English
出版社：SAGE Publications
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.
关键词：Sensor Registration; Sensor Fusion; Recursive Variational Bayesian