A Hybrid Method for Road Marking Detection

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dc.contributor.authorMazouzi, A.
dc.contributor.authorYssaad, S.R.
dc.contributor.authorKaras, I.R.
dc.date.accessioned2024-09-29T16:16:30Z
dc.date.available2024-09-29T16:16:30Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractVery recently, the problems posed in the context of road safety have taken off with the growing number of accidents on the roads. These accidents result in property damage and death in several cases. Nowadays, it is no longer a question of settling for a simple conventional and ordinary road safety, but an automatic road safety is widely desired. This study fits precisely into this context and proposes, first and in terms of computer vision, a combination of two types of approaches, which are by appearance and structural. Indeed the appearance approach is presented by the statistical classifier, while the structural one is given by the set of the following methods: the detection of the segments using the algorithm of the semi local analysis, the combined Kalman filter with predictor to estimate the road line, and the layout adjustment by applying the principle of Minimum Mean Square Error (MMSE). This method is tested on several sample images and videos. It has given a good quality results with very short processing times. © 2022 Praise Worthy Prize S.r.l.-All rights reserved.en_US
dc.identifier.doi10.15866/ireaco.v15i1.21708
dc.identifier.endpage43en_US
dc.identifier.issn1974-6059
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85130684511en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage38en_US
dc.identifier.urihttps://doi.org/10.15866/ireaco.v15i1.21708
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9140
dc.identifier.volume15en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPraise Worthy Prizeen_US
dc.relation.ispartofInternational Review of Automatic Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAppearance Approachen_US
dc.subjectComputer Visionen_US
dc.subjectDetectionen_US
dc.subjectRoad Markingen_US
dc.subjectRoad Safetyen_US
dc.subjectStructural Approachen_US
dc.titleA Hybrid Method for Road Marking Detectionen_US
dc.typeArticleen_US

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