Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 선우명호 | - |
dc.date.accessioned | 2018-02-13T04:48:29Z | - |
dc.date.available | 2018-02-13T04:48:29Z | - |
dc.date.issued | 2016-03 | - |
dc.identifier.citation | 한국자동차공학회 논문집, v. 24, NO 2, Page. 127-136 | en_US |
dc.identifier.issn | 1225-6382 | - |
dc.identifier.issn | 2234-0149 | - |
dc.identifier.uri | http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JDCGCC_2016_v24n2_127 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/37079 | - |
dc.description.abstract | The camera based object detection systems should satisfy the recognition performance as well as real-time constraints. Particularly, in safety-critical systems such as Autonomous Emergency Braking (AEB), the real-time constraints significantly affects the system performance. Recently, multi-core processors and system-on-chip technologies are widely used to accelerate the object detection algorithm by distributing computational loads. However, due to the advanced hardware, the complexity of system architecture is increased even though additional hardwares improve the real-time performance. The increased complexity also cause difficulty in migration of existing algorithms and development of new algorithms. In this paper, to improve real-time performance and design complexity, a task scheduling strategy is proposed for visual object tracking systems. The real-time performance of the vision algorithm is increased by applying pipelining to task scheduling in a multi-core processor. Finally, the proposed task scheduling algorithm is applied to crosswalk detection and tracking system to prove the effectiveness of the proposed strategy. | en_US |
dc.description.sponsorship | 이연구는 교육부의 BK21플러스사업(22A20130000045), 지식경제부 에너지자원기술개발사업(2006ETR11P091C), 산업통상자원부 산업원천기술개발사업(No. 10039673, No. 10042633), 2011년도 정부(미래창조과학부)의 재원으로 한국연구재단의 지원을 받아 수행(No. 2011-0017495) 되었습니다. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국자동차공학회 | en_US |
dc.subject | 영상인식시스템 | en_US |
dc.subject | 물체추적 | en_US |
dc.subject | 태스크 스케줄링 | en_US |
dc.subject | 다중연산장치 | en_US |
dc.subject | Vision system | en_US |
dc.subject | Object tracking | en_US |
dc.subject | Task scheduling | en_US |
dc.subject | Multi-processor | en_US |
dc.title | 시각물체 추적 시스템을 위한 멀티코어 프로세서 기반태스크 스케줄링 방법 | en_US |
dc.title.alternative | A Task Scheduling Strategy in a Multi-core Processor for Visual Object Tracking Systems | en_US |
dc.type | Article | en_US |
dc.relation.no | 2 | - |
dc.relation.volume | 24 | - |
dc.identifier.doi | 10.7467/KSAE.2016.24.2.127 | - |
dc.relation.page | 127-136 | - |
dc.relation.journal | 한국자동차공학회 논문집 | - |
dc.contributor.googleauthor | 이민채 | - |
dc.contributor.googleauthor | 장철훈 | - |
dc.contributor.googleauthor | 선우명호 | - |
dc.contributor.googleauthor | Lee, Minchae | - |
dc.contributor.googleauthor | Jang, Chulhoon | - |
dc.contributor.googleauthor | Sunwoo, Myoungho | - |
dc.relation.code | 2016019597 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF AUTOMOTIVE ENGINEERING | - |
dc.identifier.pid | msunwoo | - |
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