标题:Distributed Object Tracking Using a Derivative Free Nonlinear Information Consensus Filter
作者:Liu, Guoliang; Tian, Guohui
通讯作者:Liu, GL
作者机构:[Liu, Guoliang; Tian, Guohui] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China.
会议名称:IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO)
会议日期:DEC 03-07, 2016
来源:2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO)
出版年:2016
页码:1732-1735
摘要:In this paper, we present a derivative free information consensus filter for distributed object tracking using camera network, which is based on the square-root cubature rules for linearization of nonlinear system models, and an novel consensus weighting scheme for faster convergence rate. Compared to the state of the art, our simulation shows that the proposed method can keep the consistence of local filters, and achieve faster convergence rate when only a limited number of consensus iterations is performed.
收录类别:CPCI-S
资源类型:会议论文
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