Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 선우명호 | - |
dc.date.accessioned | 2018-03-26T01:33:53Z | - |
dc.date.available | 2018-03-26T01:33:53Z | - |
dc.date.issued | 2013-07 | - |
dc.identifier.citation | 한국자동차공학회논문집, 2013, 21(4), P.33-42 | en_US |
dc.identifier.issn | 1225-6382 | - |
dc.identifier.uri | http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JDCGCC_2013_v21n4_33 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/52092 | - |
dc.description.abstract | This paper describes a multiple vehicle tracking algorithm using an integrated probabilistic data association filter (IPDAF) in urban environments. The algorithm consists of two parts; a pre-processing stage and an IPDA tracker. In the pre-processing stage, measurements are generated by a feature extraction method that manipulates raw data into predefined geometric features of vehicles as lines and boxes. After that, the measurements are divided into two different objects, dynamic and static objects, by using information of ego-vehicle motion. The IPDA tracker estimates not only states of tracks but also existence probability recursively. The existence probability greatly assists reliable initiation and termination of track in cluttered environment. The algorithm was validated by using experimental data which is collected in urban environment by using single laser scanner. | en_US |
dc.description.sponsorship | 이 연구는 지식경제부와 한국산업기술재단의 전략기술인력양성사업, 지식경제부 에너지자원기술개발사업(2006ETR11P091C), 산업원천기술개발 사업(No. 10039673), 2011년도 정부(교육과학기술부)의 재원으로 한국연구재단의 지원(No. 2011 - 0017495) 을 받아 수행된 연구임. | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국자동차공학회 | en_US |
dc.subject | 차량추적 | en_US |
dc.subject | IPDAF, 통합 확률기반 자료결합 필터 | en_US |
dc.subject | 특징 추출 | en_US |
dc.subject | 레이저 스캐너 | en_US |
dc.subject | Vehicle tracking | en_US |
dc.subject | Integrated Probabilistic Data Association Filter | en_US |
dc.subject | Feature extraction | en_US |
dc.subject | Laser scanner | en_US |
dc.title | 단일 레이저 스캐너와 Integrated Probabilitic Data Association Filter를 이용한 도심환경에서의 다중 차량추적 | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 21 | - |
dc.identifier.doi | 10.7467/KSAE.2013.21.4.033 | - |
dc.relation.page | 33-42 | - |
dc.relation.journal | 한국자동차공학회 논문집 | - |
dc.contributor.googleauthor | 김동철 | - |
dc.contributor.googleauthor | 한재현 | - |
dc.contributor.googleauthor | 선우명호 | - |
dc.contributor.googleauthor | Kim, Dong-chul | - |
dc.contributor.googleauthor | Han, Jae-hyun | - |
dc.contributor.googleauthor | Sunwoo, Myoung-ho | - |
dc.relation.code | 2012210715 | - |
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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