Two kinds of sensor data fusion in target tracking

Yaping Dai; Jie Chen; Xiaodong Liu

Two kinds of sensor data fusion in target tracking

Yaping Dai^*
, Jie Chen
, Xiaodong Liu

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 会议稿件 › 论文 › 同行评审

6 引用（Scopus）

摘要

This paper describes an algorithm for fusion of tracks that created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensional and different sample rate. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm to data fusion will be discussed in this paper; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.

源语言	英语
页	230-233
页数	4
出版状态	已出版 - 2001
活动	40th SICE Annual Conference - Nagoya, 日本期限: 25 7月 2001 → 27 7月 2001

会议

会议	40th SICE Annual Conference
国家/地区	日本
市	Nagoya
时期	25/07/01 → 27/07/01

其它文件与链接

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引用此

@conference{339f0e5ac6d9454f865ba179eb6f63a7,

title = "Two kinds of sensor data fusion in target tracking",

abstract = "This paper describes an algorithm for fusion of tracks that created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensional and different sample rate. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm to data fusion will be discussed in this paper; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.",

keywords = "Data fusion, Multi-sensor, Target tracking",

author = "Yaping Dai and Jie Chen and Xiaodong Liu",

year = "2001",

language = "English",

pages = "230--233",

note = "40th SICE Annual Conference ; Conference date: 25-07-2001 Through 27-07-2001",

}

TY - CONF

T1 - Two kinds of sensor data fusion in target tracking

AU - Dai, Yaping

AU - Chen, Jie

AU - Liu, Xiaodong

PY - 2001

Y1 - 2001

N2 - This paper describes an algorithm for fusion of tracks that created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensional and different sample rate. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm to data fusion will be discussed in this paper; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.

AB - This paper describes an algorithm for fusion of tracks that created by two kinds of sensor (radar and IR), these measurement data are obtained with different dimensional and different sample rate. By means of the time matching technique, two asynchronous data are fused and then the filter is updated according to the fused information. The rotation Kalman filter algorithm to data fusion will be discussed in this paper; this approach can effectively solve the problem of nonlinear measurement and reduce the load of calculation.

KW - Data fusion

KW - Multi-sensor

KW - Target tracking

UR - https://www.scopus.com/pages/publications/0035716535

M3 - Paper

AN - SCOPUS:0035716535

SP - 230

EP - 233

T2 - 40th SICE Annual Conference

Y2 - 25 July 2001 through 27 July 2001

ER -

Two kinds of sensor data fusion in target tracking

摘要

会议

其它文件与链接

学术指纹

引用此