Publication:
Vision-based traffic sign detection and recognition systems: Current trends and challenges

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dc.citedby67
dc.contributor.authorWali S.B.en_US
dc.contributor.authorAbdullah M.A.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorHussain A.en_US
dc.contributor.authorSamad S.A.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorMansor M.B.en_US
dc.contributor.authorid56402940200en_US
dc.contributor.authorid55860799704en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid57208481391en_US
dc.contributor.authorid24448707600en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid6701749037en_US
dc.date.accessioned2023-05-29T07:25:49Z
dc.date.available2023-05-29T07:25:49Z
dc.date.issued2019
dc.descriptionAutomobile drivers; Computer vision; Traffic signs; Comparative studies; Driver assistance system; Issues and challenges; Performance metrics; Research communities; Tracking and classification; Traffic sign detection; Traffic sign detection and recognition; Advanced driver assistance systemsen_US
dc.description.abstractThe automatic traffic sign detection and recognition (TSDR) system is very important research in the development of advanced driver assistance systems (ADAS). Investigations on vision-based TSDR have received substantial interest in the research community, which is mainly motivated by three factors, which are detection, tracking and classification. During the last decade, a substantial number of techniques have been reported for TSDR. This paper provides a comprehensive survey on traffic sign detection, tracking and classification. The details of algorithms, methods and their specifications on detection, tracking and classification are investigated and summarized in the tables along with the corresponding key references. A comparative study on each section has been provided to evaluate the TSDR data, performance metrics and their availability. Current issues and challenges of the existing technologies are illustrated with brief suggestions and a discussion on the progress of driver assistance system research in the future. This review will hopefully lead to increasing efforts towards the development of future vision-based TSDR system. � 2019 by the authors. Licensee MDPI, Basel, Switzerland.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2093
dc.identifier.doi10.3390/s19092093
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85065762877
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85065762877&doi=10.3390%2fs19092093&partnerID=40&md5=faf8f652a140678902dc880e442ec273
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24684
dc.identifier.volume19
dc.publisherMDPI AGen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleSensors (Switzerland)
dc.titleVision-based traffic sign detection and recognition systems: Current trends and challengesen_US
dc.typeReviewen_US
dspace.entity.typePublication
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