Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion① | |
Hu, Zhentao[1]; Hu, Yumei[2]; Guo, Zhen[3]; Wu, Yewei[4] | |
刊名 | 高技术通讯(英文版) |
2016 | |
卷号 | 22期号:4页码:376-384 |
关键词 | multi-target tracking probability hypothesis density (PHD) cubature Kalman filter consistency fusion |
ISSN号 | 1006-6748 |
DOI | http://dx.doi.org/10.3772/j.issn.1006-6748.2016.04.006 |
URL标识 | 查看原文 |
收录类别 | EI |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5197551 |
专题 | 河南大学 |
作者单位 | [1]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China [2]College of Automation, Northwestern Polytechnical University, Xi'an, 710072, China[3]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China [4]Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng, 475004, China |
推荐引用方式 GB/T 7714 | Hu, Zhentao[1],Hu, Yumei[2],Guo, Zhen[3],et al. 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. |
APA | Hu, Zhentao[1],Hu, Yumei[2],Guo, Zhen[3],&Wu, Yewei[4].(2016).Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion①.高技术通讯(英文版),22(4),376-384. |
MLA | Hu, Zhentao[1],et al."Cubature Kalman probability hypothesis density filter based on multi-sensor consistency fusion①".高技术通讯(英文版) 22.4(2016):376-384. |
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