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DC Field Value Language Kwon, Soon - Ding, Da Jun - Yu, Jong Su - Jung, Je Kyo - Jin, Sung Ho - 2021-04-23T09:02:12Z - 2021-04-23T09:02:12Z - 2018-03-29 - 2015-01 -
dc.identifier.citation Bulletin of Networking, Computing, Systems, and Software, v.4, no.1, pp.65 - 68 -
dc.identifier.issn 2186-5140 -
dc.identifier.uri -
dc.description.abstract Multi-lane recognition system gives a significant assistance for driver’s safety. In this paper, we try to use a dual parabolic model for more precious and robust lane description. For gathering an efficient feature, we used a parallel RANSAC algorithm. The line model characterization is combined with adjacent point histogram peak analysis and two-axis parabola. Proposed algorithm can detect lane automatically and adaptively in every frame. The designed method is applied using various video images captured from the commercial black box camera and is verified to be robust. -
dc.language English -
dc.publisher Science & Engineering Research Support soCiety -
dc.title Multi-Lane Dection and Tracking using Dual Parabolic Model -
dc.type Article -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname Bulletin of Networking, Computing, Systems, and Software -
dc.contributor.nonIdAuthor Ding, Da Jun -
dc.contributor.nonIdAuthor Yu, Jong Su -
dc.contributor.nonIdAuthor Jung, Je Kyo -
dc.identifier.citationVolume 4 -
dc.identifier.citationNumber 1 -
dc.identifier.citationStartPage 65 -
dc.identifier.citationEndPage 68 -
dc.identifier.citationTitle Bulletin of Networking, Computing, Systems, and Software -
dc.description.isOpenAccess N -
dc.contributor.affiliatedAuthor Kwon, Soon -
dc.contributor.affiliatedAuthor Ding, Da Jun -
dc.contributor.affiliatedAuthor Yu, Jong Su -
dc.contributor.affiliatedAuthor Jung, Je Kyo -
dc.contributor.affiliatedAuthor Jin, Sung Ho -
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Division of Automotive Technology 1. Journal Articles


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