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Analysis of the adaptive threshold vehicle detection algorithm applied to traffic vibrations
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0002-5888-8626
2011 (engelsk)Inngår i: Proceedings of the 18th IFAC World Congress, 2011, IFAC, International Federation of Automatic Control , 2011, s. 2150-2155Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IFAC, International Federation of Automatic Control , 2011. s. 2150-2155
Serie
IFAC proceedings series, ISSN 0741-1146 ; 44:1
HSV kategori
Forskningsprogram
Reglerteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-38196DOI: 10.3182/20110828-6-IT-1002.01484Scopus ID: 2-s2.0-84866772168Lokal ID: c83796ed-5945-4ecd-a8d2-43e73ba5a569OAI: oai:DiVA.org:ltu-38196DiVA, id: diva2:1011695
Konferanse
IFAC World Congress : 29/08/2011 - 02/09/2011
Prosjekter
iRoad
Merknad
Godkänd; 2011; 20160428 (andbra)Tilgjengelig fra: 2016-10-03 Laget: 2016-10-03 Sist oppdatert: 2018-07-10bibliografisk kontrollert

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Hostettler, RolandBirk, Wolfgang

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