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Statements

Subject Item
n2:RIV%2F68407700%3A21460%2F10%3A00172862%21RIV11-MSM-21460___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
Highway toll control requires automated and real-time classification of fast-moving motor vehicles. In this article, we present a modular software solution to the technical problem of how to classify vehicles on a highway with a tollgate equipped with a laser scanner with an angular resolution of 1° and a frame rate of 75 Hz. At a typical cruising speed, a time window of less than 300 ms is available for scanning one vehicle. Our software identifies individual vehicles and passes a set of descriptors to the classification process itself. Highway toll control requires automated and real-time classification of fast-moving motor vehicles. In this article, we present a modular software solution to the technical problem of how to classify vehicles on a highway with a tollgate equipped with a laser scanner with an angular resolution of 1° and a frame rate of 75 Hz. At a typical cruising speed, a time window of less than 300 ms is available for scanning one vehicle. Our software identifies individual vehicles and passes a set of descriptors to the classification process itself.
dcterms:title
Highway Toll Enforcement-Real Time Classification of Motor Vehicles Highway Toll Enforcement-Real Time Classification of Motor Vehicles
skos:prefLabel
Highway Toll Enforcement-Real Time Classification of Motor Vehicles Highway Toll Enforcement-Real Time Classification of Motor Vehicles
skos:notation
RIV/68407700:21460/10:00172862!RIV11-MSM-21460___
n3:aktivita
n17:V
n3:aktivity
V
n3:cisloPeriodika
4
n3:dodaniDat
n14:2011
n3:domaciTvurceVysledku
n12:1152548
n3:druhVysledku
n15:J
n3:duvernostUdaju
n16:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
261617
n3:idVysledku
RIV/68407700:21460/10:00172862
n3:jazykVysledku
n9:eng
n3:klicovaSlova
artificial neural networks; computer software; laser measurement applications
n3:klicoveSlovo
n5:laser%20measurement%20applications n5:artificial%20neural%20networks n5:computer%20software
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[93E69F181598]
n3:nazevZdroje
IEEE Vehicular Technology Magazine
n3:obor
n13:JR
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n14:2010
n3:svazekPeriodika
5
n3:tvurceVysledku
Maršálek, Petr Štroffek, Július Kuriščák, Eduard
n3:wos
000284544200010
s:issn
1556-6072
s:numberOfPages
10
n11:organizacniJednotka
21460