Track association and fusion based on information demand analysis

Li Xu; Peijun Ma; Xiaohong Su

doi:10.1109/ICICSE.2009.35

Track association and fusion based on information demand analysis

Li Xu^*
, Peijun Ma
, Xiaohong Su

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology
College of Computer Science and Technology, Harbin Engineering University

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

Abstract

The paper presents a track association and fusion algorithm based on information demand analysis in the multi-sensor and multi-target environment. Track association first is done to judge whether the tracks from the different sensors derive from the same target by the method of the nearest neighborhood. Then the algorithm discards the tracks with poor quality by analyzing information demand for the fusion and evaluating the quality of each track using the method of statistical variance analysis. Last, Kalman filter and Simple Fusion strategy are used for the state estimation fusion. Experiment results show the algorithm improves the precision of the final track during the process of track fusion.

Original language	English
Title of host publication	Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009
Publisher	IEEE Computer Society
Pages	93-97
Number of pages	5
ISBN (Print)	9780769540276
DOIs	https://doi.org/10.1109/ICICSE.2009.35
State	Published - 2009
Externally published	Yes

Publication series

Name	Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009

Keywords

Multi-sensor
Multi-target
Track association
Track fusion

Access to Document

10.1109/ICICSE.2009.35

Cite this

Xu, L., Ma, P., & Su, X. (2009). Track association and fusion based on information demand analysis. In Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009 (pp. 93-97). Article 5521624 (Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009). IEEE Computer Society. https://doi.org/10.1109/ICICSE.2009.35

@inproceedings{24190277c8dc4c14bcff94b9cdf76b61,

title = "Track association and fusion based on information demand analysis",

abstract = "The paper presents a track association and fusion algorithm based on information demand analysis in the multi-sensor and multi-target environment. Track association first is done to judge whether the tracks from the different sensors derive from the same target by the method of the nearest neighborhood. Then the algorithm discards the tracks with poor quality by analyzing information demand for the fusion and evaluating the quality of each track using the method of statistical variance analysis. Last, Kalman filter and Simple Fusion strategy are used for the state estimation fusion. Experiment results show the algorithm improves the precision of the final track during the process of track fusion.",

keywords = "Multi-sensor, Multi-target, Track association, Track fusion",

author = "Li Xu and Peijun Ma and Xiaohong Su",

year = "2009",

doi = "10.1109/ICICSE.2009.35",

language = "英语",

isbn = "9780769540276",

series = "Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009",

publisher = "IEEE Computer Society",

pages = "93--97",

booktitle = "Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009",

address = "美国",

}

Xu, L, Ma, P & Su, X 2009, Track association and fusion based on information demand analysis. in Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009., 5521624, Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009, IEEE Computer Society, pp. 93-97. https://doi.org/10.1109/ICICSE.2009.35

Track association and fusion based on information demand analysis. / Xu, Li; Ma, Peijun; Su, Xiaohong.
Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009. IEEE Computer Society, 2009. p. 93-97 5521624 (Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009).

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

TY - GEN

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AU - Xu, Li

AU - Ma, Peijun

AU - Su, Xiaohong

PY - 2009

Y1 - 2009

N2 - The paper presents a track association and fusion algorithm based on information demand analysis in the multi-sensor and multi-target environment. Track association first is done to judge whether the tracks from the different sensors derive from the same target by the method of the nearest neighborhood. Then the algorithm discards the tracks with poor quality by analyzing information demand for the fusion and evaluating the quality of each track using the method of statistical variance analysis. Last, Kalman filter and Simple Fusion strategy are used for the state estimation fusion. Experiment results show the algorithm improves the precision of the final track during the process of track fusion.

AB - The paper presents a track association and fusion algorithm based on information demand analysis in the multi-sensor and multi-target environment. Track association first is done to judge whether the tracks from the different sensors derive from the same target by the method of the nearest neighborhood. Then the algorithm discards the tracks with poor quality by analyzing information demand for the fusion and evaluating the quality of each track using the method of statistical variance analysis. Last, Kalman filter and Simple Fusion strategy are used for the state estimation fusion. Experiment results show the algorithm improves the precision of the final track during the process of track fusion.

KW - Multi-sensor

KW - Multi-target

KW - Track association

KW - Track fusion

UR - https://www.scopus.com/pages/publications/77958551201

U2 - 10.1109/ICICSE.2009.35

DO - 10.1109/ICICSE.2009.35

M3 - 会议稿件

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SN - 9780769540276

T3 - Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009

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BT - Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009

PB - IEEE Computer Society

ER -

Xu L, Ma P, Su X. Track association and fusion based on information demand analysis. In Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009. IEEE Computer Society. 2009. p. 93-97. 5521624. (Proceedings - 4th International Conference on Internet Computing for Science and Engineering, ICICSE 2009). doi: 10.1109/ICICSE.2009.35

Track association and fusion based on information demand analysis

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Keywords

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