首页|期刊导航|高技术通讯（英文版）|Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion①

Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion①

Hu Zhentao Hu Yumei Guo Zhen Wu Yewei

高技术通讯（英文版）2016，Vol.22Issue(4)：376-384,9.

高技术通讯（英文版）2016，Vol.22Issue(4)：376-384,9.DOI:10.3772/j.issn.1006-6748.2016.04.006

Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion①

Hu Zhentao ¹Hu Yumei ²Guo Zhen ¹Wu Yewei¹

作者信息

1. Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, P.R.China
2. College of Automation, Northwestern Polytechnical University, Xi’an 710072, P.R.China
折叠

摘要

关键词

multi-target tracking/probability hypothesis density (PHD)/cubature Kalman filter/consistency fusion

Key words

multi-target tracking/probability hypothesis density (PHD)/cubature Kalman filter/consistency fusion

引用本文复制引用

Hu Zhentao,Hu Yumei,Guo Zhen,Wu Yewei..Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion①[J].高技术通讯（英文版）,2016,22(4):376-384,9.

基金项目

Supported by the National Natural Science Foundation of China （No．61300214）， the Science and Technology Innovation Team Support Plan of Education Department of Henan Province （No．13IRTSTHN021）， the Post－doctoral Science Foundation of China （No．2014M551999）， and the Outstanding Young Cultivation Foundation of Henan University （No．0000A40366）．（）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

访问量0

下载量0

段落导航