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On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data. / Petrov, Nikolay; Ulmke, Martin; Mihaylova, Lyudmila et al.
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on. IEEE, 2012. p. 19-24.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Petrov, N, Ulmke, M, Mihaylova, L, Gning, A, Schikora, M, Wieneke, M & Koch, W 2012, On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data. in Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on. IEEE, pp. 19-24, IEEE Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), Bonn, Germany, 4/09/12. https://doi.org/10.1109/SDF.2012.6327902

APA

Petrov, N., Ulmke, M., Mihaylova, L., Gning, A., Schikora, M., Wieneke, M., & Koch, W. (2012). On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data. In Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on (pp. 19-24). IEEE. https://doi.org/10.1109/SDF.2012.6327902

Vancouver

Petrov N, Ulmke M, Mihaylova L, Gning A, Schikora M, Wieneke M et al. On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data. In Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on. IEEE. 2012. p. 19-24 doi: 10.1109/SDF.2012.6327902

Author

Petrov, Nikolay ; Ulmke, Martin ; Mihaylova, Lyudmila et al. / On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data. Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on. IEEE, 2012. pp. 19-24

Bibtex

@inproceedings{f49ee5b131494ac89c46a212d6a7fabf,
title = "On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data",
abstract = "This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real measurements from laser range scanners obtained within a prototype security system replicating an airport corridor. The problem is expressed as the joint estimation of both state and parameters of an extended target. Circularly and elliptically shaped targets are considered. Promising results are presented.",
keywords = "Box particle filter, extended objects, tracking",
author = "Nikolay Petrov and Martin Ulmke and Lyudmila Mihaylova and Amadou Gning and Marek Schikora and Monika Wieneke and Wofgang Koch",
year = "2012",
month = sep,
day = "1",
doi = "10.1109/SDF.2012.6327902",
language = "English",
isbn = "978-1-4673-3010-7",
pages = "19--24",
booktitle = "Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on",
publisher = "IEEE",
note = "IEEE Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF) ; Conference date: 04-09-2012 Through 06-09-2012",

}

RIS

TY - GEN

T1 - On the Performance of the Box Particle Filter for Extended Object Tracking Using Laser Data

AU - Petrov, Nikolay

AU - Ulmke, Martin

AU - Mihaylova, Lyudmila

AU - Gning, Amadou

AU - Schikora, Marek

AU - Wieneke, Monika

AU - Koch, Wofgang

PY - 2012/9/1

Y1 - 2012/9/1

N2 - This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real measurements from laser range scanners obtained within a prototype security system replicating an airport corridor. The problem is expressed as the joint estimation of both state and parameters of an extended target. Circularly and elliptically shaped targets are considered. Promising results are presented.

AB - This paper considers the challenging task of real time extended object tracking using cluttered measurements from laser range scanners. The performance of the recently proposed Box Particle Filter (Box PF) algorithm is evaluated utilising real measurements from laser range scanners obtained within a prototype security system replicating an airport corridor. The problem is expressed as the joint estimation of both state and parameters of an extended target. Circularly and elliptically shaped targets are considered. Promising results are presented.

KW - Box particle filter

KW - extended objects

KW - tracking

U2 - 10.1109/SDF.2012.6327902

DO - 10.1109/SDF.2012.6327902

M3 - Conference contribution/Paper

SN - 978-1-4673-3010-7

SP - 19

EP - 24

BT - Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2012 Workshop on

PB - IEEE

T2 - IEEE Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)

Y2 - 4 September 2012 through 6 September 2012

ER -