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Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intel...

Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intel...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93d75f9435f94372983b3c7752886806

Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems

About this item

Full title

Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems

Publisher

Hoboken: Hindawi

Journal title

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

Language

English

Formats

Publication information

Publisher

Hoboken: Hindawi

More information

Scope and Contents

Contents

In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection...

Alternative Titles

Full title

Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_93d75f9435f94372983b3c7752886806

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_93d75f9435f94372983b3c7752886806

Other Identifiers

ISSN

1076-2787

E-ISSN

1099-0526

DOI

10.1155/2021/6644861

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