지능형자동차를 위한 차선 검출 알고리즘 기반 차선 이탈 경고 시스템
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김재국 | - |
dc.contributor.author | 조용진 | - |
dc.contributor.author | 임준홍 | - |
dc.date.accessioned | 2021-06-23T07:18:03Z | - |
dc.date.available | 2021-06-23T07:18:03Z | - |
dc.date.issued | 2012-06 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/32633 | - |
dc.description.abstract | This paper proposes lane departure warning system(LDWS) based on effective lane detection algorithm in a particular region of interest(ROI) of driving road images. The proposed lane detection algorithm determines whether there are traffic lanes in the scanned sub-block images of road. The lane departure warning system gives alarming signal when the car leaves the detected-lane window which is created by using the center line of lane based on vanishing point. Experimental studies using blackbox images show the validity and the effectiveness of the proposed method. | - |
dc.format.extent | 4 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 지능형자동차를 위한 차선 검출 알고리즘 기반 차선 이탈 경고 시스템 | - |
dc.title.alternative | Lane Departure Warning System Based On Lane Detection Algorithm For Intelligent Vehicles | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 2012년도 대한전자공학회 하계종합학술대회, v.35, no.1, pp 1568 - 1571 | - |
dc.citation.title | 2012년도 대한전자공학회 하계종합학술대회 | - |
dc.citation.volume | 35 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1568 | - |
dc.citation.endPage | 1571 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02275412 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.