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Analysis of the adaptive threshold vehicle detection algorithm applied to traffic vibrations
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
2011 (English)In: Proceedings of the 18th IFAC World Congress, 2011, IFAC, International Federation of Automatic Control , 2011, p. 2150-2155Conference paper (Refereed)
Abstract [en]

This paper discusses and analyzes the performance of the Adaptive Threshold Detection Algorithm for vehicle detection based on road traffic vibrations. The algorithm, originally developed for magnetometer- and microphone-based vehicle detection, is adapted for the usage with seismic signals and then analyzed in a statistical framework. It is found that the algorithm can be applied to this kind of signals and promising results are obtained in simulations and tests on measurement data. Further testing using real traffic data is required in order to obtain more significant results.

Place, publisher, year, edition, pages
IFAC, International Federation of Automatic Control , 2011. p. 2150-2155
Series
I F A C Workshop Series, ISSN 1474-6670 ; 18:1
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-37367Local ID: b5d8dc6f-b540-4eac-8792-734db84fea9dISBN: 978-3-902661-93-7 (electronic)OAI: oai:DiVA.org:ltu-37367DiVA, id: diva2:1010865
Conference
IFAC World Congress : 29/08/2011 - 02/09/2011
Projects
iRoad
Note

Validerad; 2011; 20110601 (wolfgang)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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Hostettler, RolandBirk, Wolfgang

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CiteExportLink to record
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  • apa
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Language
  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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