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Real Time Vehicle Recognition: A Novel Method for Road Detection

Authors: Adrián Peñate Sánchez; Alexis Quesada-Arencibia; Carlos Manuel Travieso-González;

Real Time Vehicle Recognition: A Novel Method for Road Detection

Abstract

Knowing the location of the road in an intelligent traffic systems is one of the most used solutions to ease vehicle detection. For this purpose we propose a vehicle recognition algorithm which performs a real time automatic detection of the zones which vehicles occupy. Such algorithm is capable of functioning under extreme conditions such as low resolution, low capture angle and gray scale images. Peer Reviewed

Country
Spain
Keywords

Automatic road detection, :Informàtica::Automàtica i control [Àrees temàtiques de la UPC], Visió per ordinador, real time vehicle recognition, Automatic road detection Intelligent transport systems Real time vehicle recognition, 120304 Inteligencia artificial, Àrees temàtiques de la UPC::Informàtica::Automàtica i control, 3327 Tecnología de los sistemas de transporte, Intelligent transport systems, Computer vision, Real time vehicle recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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80
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