Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정주 | - |
dc.date.accessioned | 2022-09-02T00:11:07Z | - |
dc.date.available | 2022-09-02T00:11:07Z | - |
dc.date.issued | 2020-11 | - |
dc.identifier.citation | 2020년 한국자동차공학회 추계학술대회 및 전시회, page. 700-704 | en_US |
dc.identifier.issn | 2713-7171 | - |
dc.identifier.uri | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10519426 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/172707 | - |
dc.description.abstract | In this paper, we propose a feature vector kernelling method for the multi-class support vector machine (MSVM) in the object vehicle motion classification. Since the conventional radar system has the limitation of low resolution of lateral information, it is difficult to be utilized in advanced driver assistant systems. The MSVM is used to resolve this problem in an object vehicle motion classification problem. For the feature vector of the MSVM, we present a feature vector kernelling method using Kalman filter. The proposed algorithm was validated with a data set not included in the training data set. From the experimental results, we observed that the proposed system can identify the cut-in/out situation. | en_US |
dc.description.sponsorship | 이 논문은 2016년도 정부(미래창조과학부)의 재원으로 정보통신기술진흥센터의 지원을 받아 수행된 연구임 (NO. 20160001700022004, 차량 통신 기반의 광역 주행환경인지 및 협조 주행기술 개발) | en_US |
dc.language.iso | ko_KR | en_US |
dc.publisher | 한국자동차공학회 | en_US |
dc.subject | 고급운전자지원시스템 | en_US |
dc.subject | 레이더 | en_US |
dc.subject | 다중 클래스 서포트 벡터 머신 | en_US |
dc.subject | 기계 학습 | en_US |
dc.subject | 칼만 필터 | en_US |
dc.subject | Advanced Driver Assistance Systems | en_US |
dc.subject | Radar | en_US |
dc.subject | Multi-Class Support Vector Machine | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | Kalman filter | en_US |
dc.title | 상대 차량의 움직임 판단을 위한 특징벡터 커널링 기반 멀티클래스 서포트 벡터 머신 | en_US |
dc.title.alternative | Feature Vector Kernelling Based Multi-Class Support Vector Machine For Object Vehicle Motion Classification | en_US |
dc.type | Article | en_US |
dc.relation.page | 1-5 | - |
dc.contributor.googleauthor | 김, 대정 | - |
dc.contributor.googleauthor | 정, 정주 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | cchung | - |
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