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dc.contributor.author Ding, Da Jun -
dc.contributor.author Yu, Jong Su -
dc.contributor.author Jung, Je Kyo -
dc.contributor.author Kwon, Soon -
dc.date.accessioned 2021-04-26T05:01:41Z -
dc.date.available 2021-04-26T05:01:41Z -
dc.date.created 2018-03-29 -
dc.date.issued 2014 -
dc.identifier.citation Advanced Science and Technology Letters, v.50, pp.46 - 54 -
dc.identifier.issn 2287-1233 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13377 -
dc.identifier.uri https://pdfs.semanticscholar.org/411f/a934934a23d63f055483cb8ab84b097dc13d.pdf -
dc.description.abstract In driving assistance system (DAS), road marking’s data can provide
important assistance for driving safety. As the input image usually includes
unnecessary information, lane detection system usually needs to remove most
unnecessary data except for the lane markings. In this paper, a road marking
extraction method is proposed to separate the painted lane lines using a special
designed band-pass filter. Then we tried the acceleration method based on the
integral image as well as the GPGPU. Road markings can be segmented
automatically and adaptively in every frame. The proposed method is applied to
various video images from black box, and is verified to be robust.
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dc.language English -
dc.publisher Advanced Science and Technology Letters -
dc.title A Road Marking Extraction Method Using GPGPU -
dc.type Article -
dc.identifier.doi 10.14257/astl.2014.50.08 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname Advanced Science and Technology Letters -
dc.contributor.nonIdAuthor Ding, Da Jun -
dc.contributor.nonIdAuthor Yu, Jong Su -
dc.contributor.nonIdAuthor Jung, Je Kyo -
dc.identifier.citationVolume 50 -
dc.identifier.citationStartPage 46 -
dc.identifier.citationEndPage 54 -
dc.identifier.citationTitle Advanced Science and Technology Letters -
dc.description.isOpenAccess N -
dc.contributor.affiliatedAuthor Ding, Da Jun -
dc.contributor.affiliatedAuthor Yu, Jong Su -
dc.contributor.affiliatedAuthor Jung, Je Kyo -
dc.contributor.affiliatedAuthor Kwon, Soon -
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Division of Automotive Technology 1. Journal Articles

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