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Integrated vehicle classification system

dc.contributor.authorFerreira, Pedro Miguel
dc.contributor.authorJorge, Pedro
dc.contributor.authorMarques, Gonçalo
dc.contributor.authorAbrantes, Arnaldo
dc.contributor.authorAmador, António
dc.date.accessioned2013-02-15T15:21:04Z
dc.date.available2013-02-15T15:21:04Z
dc.date.issued2011
dc.description.abstractThis paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.por
dc.identifier.citationFERREIRA, Pedro; JORGE, Pedro; MARQUES, Gonçalo; ABRANTES, Arnaldo; AMADOR, António - Integrated Vehicle Classification System. 2011 IEEE Intelligent Vehicles Symposium (IV). ISSN 1931-0587. ISBN 978-1-4577-0891-6. (2011) p. 266-271.por
dc.identifier.isbn978-1-4577-0891-6
dc.identifier.issn1931-0587
dc.identifier.urihttp://hdl.handle.net/10400.21/2207
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectVehicle classificationpor
dc.titleIntegrated vehicle classification systempor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceNew Yorkpor
oaire.citation.endPage271por
oaire.citation.startPage266por
oaire.citation.title2011 IEEE Intelligent Vehicles Symposium (IV)por
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person.givenNameArnaldo
person.identifier.ciencia-id2D19-C93D-023C
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person.identifier.orcid0000-0002-9351-1074
person.identifier.orcid0000-0003-1597-410X
person.identifier.orcid0000-0002-9911-6833
person.identifier.ridA-2852-2009
person.identifier.scopus-author-id7202018301
person.identifier.scopus-author-id7003329558
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication.latestForDiscoveryaaf73613-1657-426b-bfad-61538719c7a1

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