Vision-based vehicle detection and tracking algorithm design
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Junyeon | - |
dc.contributor.author | Huh, Kunsoo | - |
dc.contributor.author | Lee, Donghwi | - |
dc.date.accessioned | 2022-12-20T19:43:11Z | - |
dc.date.available | 2022-12-20T19:43:11Z | - |
dc.date.created | 2022-08-26 | - |
dc.date.issued | 2009-12 | - |
dc.identifier.issn | 0091-3286 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175732 | - |
dc.description.abstract | The vision-based vehicle detection in front of an ego-vehicle is regarded as promising for driver assistance as well as for autonomous vehicle guidance. The feasibility of vehicle detection in a passenger car requires accurate and robust sensing performance. A multivehicle detection system based on stereo vision has been developed for better accuracy and robustness. This system utilizes morphological filter, feature detector, template matching, and epipolar constraint techniques in order to detect the corresponding pairs of vehicles. After the initial detection, the system executes the tracking algorithm for the vehicles. The proposed system can detect front vehicles such as the leading vehicle and side-lane vehicles. The position parameters of the vehicles located in front are obtained based on the detection information. The proposed vehicle detection system is implemented on a passenger car, and its performance is verified experimentally. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS | - |
dc.title | Vision-based vehicle detection and tracking algorithm design | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Huh, Kunsoo | - |
dc.identifier.doi | 10.1117/1.3269685 | - |
dc.identifier.scopusid | 2-s2.0-72749087996 | - |
dc.identifier.wosid | 000273211200028 | - |
dc.identifier.bibliographicCitation | OPTICAL ENGINEERING, v.48, no.12, pp.1 - 10 | - |
dc.relation.isPartOf | OPTICAL ENGINEERING | - |
dc.citation.title | OPTICAL ENGINEERING | - |
dc.citation.volume | 48 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 10 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Optics | - |
dc.relation.journalWebOfScienceCategory | Optics | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordAuthor | stereo vision | - |
dc.subject.keywordAuthor | vehicle detection | - |
dc.subject.keywordAuthor | vehicle tracking | - |
dc.subject.keywordAuthor | multivehicle | - |
dc.identifier.url | https://www.spiedigitallibrary.org/journals/optical-engineering/volume-48/issue-12/127201/Vision-based-vehicle-detection-and-tracking-algorithm-design/10.1117/1.3269685.short | - |
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.