지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2014 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.6 No.1
- 발행연도
- 2014.6
- 수록면
- 487 - 490 (4page)
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초록· 키워드
오류제보하기
This paper describes an implementation of automatic mutual localization of moving vehicles using particle filter. Moving vehicles determine the location using camera sensors. Measured data will be used for determination of the vehicles location. We discuss the problem in circle formation enclosing target which moves. We use particle filters which does not need to know the value of the coordinates of reference points. So, specify enclosed point for the number of vehicles based on between the relative positions of the vehicles in the coordinate system. Particle filter is used to improve the accuracy of the vehicles location. The particle filter is well operated for mutual location of vehicles than any other estimation algorithm. Through the experiments, we show that the proposed scheme is stable and works well in real environments.
목차
Abstract
I. INTRODUCTION
II. MODELING OF PARTICLE FILTER FOR TRAJECTORY ESTIMATION
III. FLYING OBJECT TRAJECTORY OPTIMIZATION
IV. CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-004-000963023