An algorithm of heterogeneous sensors track fusion for target tracking

Yuhong Zhu; Jie Chen; Chen Chen; Hui Wang

doi:10.1109/CCDC.2010.5498194

An algorithm of heterogeneous sensors track fusion for target tracking

Yuhong Zhu^*, Jie Chen, Chen Chen, Hui Wang

^*Corresponding author for this work

School of Automation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Heterogeneous sensors have been widely used in the military and unmilitary systems. For target tracking, both radars and infrared sensors occupy a crucial role in getting target information. Radars provide the 3-D coordinates, while infrared sensors supplies azimuth and elevation information. Thus, it challenges the track fusion in the system involving both radars and infrared sensors. This paper focuses on the track fusion of the data from radars and infrared sensors. Temporal and spatial alignments need to be done to agree on a common notion of time and to the common reference coordinate system. Then a track fusion method based on maximum likelihood estimate is developed in this paper. Finally, simulations show the effectiveness of the algorithm.

Original language	English
Title of host publication	2010 Chinese Control and Decision Conference, CCDC 2010
Pages	1383-1387
Number of pages	5
DOIs	https://doi.org/10.1109/CCDC.2010.5498194
Publication status	Published - 2010
Event	2010 Chinese Control and Decision Conference, CCDC 2010 - Xuzhou, China Duration: 26 May 2010 → 28 May 2010

Publication series

Name	2010 Chinese Control and Decision Conference, CCDC 2010

Conference

Conference	2010 Chinese Control and Decision Conference, CCDC 2010
Country/Territory	China
City	Xuzhou
Period	26/05/10 → 28/05/10

Keywords

Heterogeneous sensors
Maximum likelihood estimate
Target tracking
Track fusion

Access to Document

10.1109/CCDC.2010.5498194

Cite this

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title = "An algorithm of heterogeneous sensors track fusion for target tracking",

abstract = "Heterogeneous sensors have been widely used in the military and unmilitary systems. For target tracking, both radars and infrared sensors occupy a crucial role in getting target information. Radars provide the 3-D coordinates, while infrared sensors supplies azimuth and elevation information. Thus, it challenges the track fusion in the system involving both radars and infrared sensors. This paper focuses on the track fusion of the data from radars and infrared sensors. Temporal and spatial alignments need to be done to agree on a common notion of time and to the common reference coordinate system. Then a track fusion method based on maximum likelihood estimate is developed in this paper. Finally, simulations show the effectiveness of the algorithm.",

keywords = "Heterogeneous sensors, Maximum likelihood estimate, Target tracking, Track fusion",

author = "Yuhong Zhu and Jie Chen and Chen Chen and Hui Wang",

year = "2010",

doi = "10.1109/CCDC.2010.5498194",

language = "English",

isbn = "9781424451821",

series = "2010 Chinese Control and Decision Conference, CCDC 2010",

pages = "1383--1387",

booktitle = "2010 Chinese Control and Decision Conference, CCDC 2010",

note = "2010 Chinese Control and Decision Conference, CCDC 2010 ; Conference date: 26-05-2010 Through 28-05-2010",

}

Zhu, Y, Chen, J, Chen, C & Wang, H 2010, An algorithm of heterogeneous sensors track fusion for target tracking. in 2010 Chinese Control and Decision Conference, CCDC 2010., 5498194, 2010 Chinese Control and Decision Conference, CCDC 2010, pp. 1383-1387, 2010 Chinese Control and Decision Conference, CCDC 2010, Xuzhou, China, 26/05/10. https://doi.org/10.1109/CCDC.2010.5498194

TY - GEN

T1 - An algorithm of heterogeneous sensors track fusion for target tracking

AU - Zhu, Yuhong

AU - Chen, Jie

AU - Chen, Chen

AU - Wang, Hui

PY - 2010

Y1 - 2010

N2 - Heterogeneous sensors have been widely used in the military and unmilitary systems. For target tracking, both radars and infrared sensors occupy a crucial role in getting target information. Radars provide the 3-D coordinates, while infrared sensors supplies azimuth and elevation information. Thus, it challenges the track fusion in the system involving both radars and infrared sensors. This paper focuses on the track fusion of the data from radars and infrared sensors. Temporal and spatial alignments need to be done to agree on a common notion of time and to the common reference coordinate system. Then a track fusion method based on maximum likelihood estimate is developed in this paper. Finally, simulations show the effectiveness of the algorithm.

AB - Heterogeneous sensors have been widely used in the military and unmilitary systems. For target tracking, both radars and infrared sensors occupy a crucial role in getting target information. Radars provide the 3-D coordinates, while infrared sensors supplies azimuth and elevation information. Thus, it challenges the track fusion in the system involving both radars and infrared sensors. This paper focuses on the track fusion of the data from radars and infrared sensors. Temporal and spatial alignments need to be done to agree on a common notion of time and to the common reference coordinate system. Then a track fusion method based on maximum likelihood estimate is developed in this paper. Finally, simulations show the effectiveness of the algorithm.

KW - Heterogeneous sensors

KW - Maximum likelihood estimate

KW - Target tracking

KW - Track fusion

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U2 - 10.1109/CCDC.2010.5498194

DO - 10.1109/CCDC.2010.5498194

M3 - Conference contribution

AN - SCOPUS:77955360355

SN - 9781424451821

T3 - 2010 Chinese Control and Decision Conference, CCDC 2010

SP - 1383

EP - 1387

BT - 2010 Chinese Control and Decision Conference, CCDC 2010

T2 - 2010 Chinese Control and Decision Conference, CCDC 2010

Y2 - 26 May 2010 through 28 May 2010

ER -

An algorithm of heterogeneous sensors track fusion for target tracking

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Keywords

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