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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, 2150-2155 p.Conference paper, Published 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. 2150-2155 p.
Series
IFAC proceedings series, ISSN 0741-1146 ; 44:1
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-38196DOI: 10.3182/20110828-6-IT-1002.01484Local ID: c83796ed-5945-4ecd-a8d2-43e73ba5a569OAI: oai:DiVA.org:ltu-38196DiVA: diva2:1011695
Conference
IFAC World Congress : 29/08/2011 - 02/09/2011
Projects
iRoad
Note
Godkänd; 2011; 20160428 (andbra)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2016-12-27Bibliographically approved

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Citation style
  • apa
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