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Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles

Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e0c3a50270f40d1afec1aa605b83450

Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles

About this item

Full title

Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2024-05, Vol.24 (11), p.3282

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Over the coming years, the advancement of driverless transport systems for people and goods that are designed to be used on fixed routes will revolutionize the transportation system. Therefore, for a safe transportation system, detecting and recognizing traffic signals based on computer vision has become increasingly important. Deep learning approa...

Alternative Titles

Full title

Traffic Sign Recognition Using Multi-Task Deep Learning for Self-Driving Vehicles

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_7e0c3a50270f40d1afec1aa605b83450

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7e0c3a50270f40d1afec1aa605b83450

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s24113282

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