스테레오 비전센서를 이용한 선행차량 감지 시스템의 개발
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 황준연 | - |
dc.contributor.author | 홍대건 | - |
dc.contributor.author | 허건수 | - |
dc.date.accessioned | 2022-12-21T00:23:41Z | - |
dc.date.available | 2022-12-21T00:23:41Z | - |
dc.date.created | 2022-09-19 | - |
dc.date.issued | 2008-11 | - |
dc.identifier.issn | 1225-6382 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/177661 | - |
dc.description.abstract | Preceding vehicle detection is a crucial issue for driver assistance system as well as for autonomous vehicle guidance function and it has to be performed with high reliability to avoid any potential collision. The vision-based preceded vehicle detection systems are regarded promising for this purpose because they require little infrastructure on a highway. However, the feasibility of these systems in passenger car requires accurate and robust sensing performance. In this paper, an preceded vehicle detection system is developed using stereo vision sensors. This system utilizes feature matching, epipoplar constraint and feature aggregation in order to robustly detect the initial corresponding pairs. After the initial detection, the system executes the tracking algorithm for the preceded vehicles including a leading vehicle. Then, the position parameters of the preceded vehicles or leading vehicles can be obtained. The proposed preceded vehicle detection system is implemented on a passenger car and its performances is verified experimentally. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 한국자동차공학회 | - |
dc.title | 스테레오 비전센서를 이용한 선행차량 감지 시스템의 개발 | - |
dc.title.alternative | Development of a Vision Sensor-based Vehicle Detection System | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 허건수 | - |
dc.identifier.bibliographicCitation | 한국자동차공학회 논문집, v.16, no.6, pp.134 - 140 | - |
dc.relation.isPartOf | 한국자동차공학회 논문집 | - |
dc.citation.title | 한국자동차공학회 논문집 | - |
dc.citation.volume | 16 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 134 | - |
dc.citation.endPage | 140 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001289862 | - |
dc.description.journalClass | 2 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Preceded vehicle detection | - |
dc.subject.keywordAuthor | Representation point | - |
dc.subject.keywordAuthor | Feature extraction | - |
dc.subject.keywordAuthor | Feature matching | - |
dc.subject.keywordAuthor | 선행차량감지 | - |
dc.subject.keywordAuthor | 대표점 | - |
dc.subject.keywordAuthor | 형상 추출 | - |
dc.subject.keywordAuthor | 형상 정합 | - |
dc.identifier.url | https://koreascience.kr/article/JAKO200800453836917.page | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
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.