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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 2021-04-26T05:01:47Z -
dc.date.available 2021-04-26T05:01:47Z -
dc.date.created 2018-03-29 -
dc.date.issued 2014 -
dc.identifier.citation Advanced Science and Technology Letters, v.63, pp.53 - 58 -
dc.identifier.issn 2287-1233 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/13378 -
dc.description.abstract Lane markings can provide drivers significant warning instruction
about current/ approaching road condition, in that case precise lane marking
detection results are important assistance for safety issue in the driving assistance
system (DAS). In this paper, we mainly focus on urban lane marking detection.
We used sampling peaks from IPM image for lane markings’ extraction and
description. The proposed method is applied to various video images from black
box, and is verified to be robust.
-
dc.language English -
dc.publisher Science & Engineering Research Support soCiety -
dc.title An Urban Lane Detection Method Based on Inverse Perspective Mapping -
dc.type Article -
dc.identifier.doi 10.14257/astl.2014.63.11 -
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 63 -
dc.identifier.citationStartPage 53 -
dc.identifier.citationEndPage 58 -
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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