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

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

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.

Original language	English
Pages	230-233
Number of pages	4
Publication status	Published - 2001
Event	40th SICE Annual Conference - Nagoya, Japan Duration: 25 Jul 2001 → 27 Jul 2001

Conference

Conference	40th SICE Annual Conference
Country/Territory	Japan
City	Nagoya
Period	25/07/01 → 27/07/01

Keywords

Data fusion
Multi-sensor
Target tracking

Cite this

@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 - http://www.scopus.com/inward/record.url?scp=0035716535&partnerID=8YFLogxK

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

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this