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
- 발행연도
- 2013.10
- 수록면
- 1,342 - 1,346 (5page)
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초록· 키워드
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In this paper, a vehicle recognition algorithm based on radar and vision sensors is proposed with the application to automatic emergency braking. While the commercial radar detects both vehicles and road infrastructure including guardrail and tunnel, in general it does not distinguish between a vehicle and a non-vehicle object. Furthermore, it is well known that while it provides relatively coarse accuracy in the lateral (or azimuth) direction although the accuracy of the radar is high in longitudinal (or radial) direction. These characteristics of radar may cause false detection of a primary vehicle, i.e. the closest preceding vehicle in the same lane, thus resulting in false activation of automatic emergency braking. To improve the false detection, a vehicle recognition method based on shape and motion attributes is suggested. The motion attribute is designed to determine whether the object is either stationary or dynamic and the shape attribute aims to identify whether the objective is a vehicle or not by sensor fusion. Finally, the performance of the proposed vehicle recognition algorithm is validated via the field test data.
목차
Abstract
1. INTRODUCTION
2. PROBLEM STATEMENT
3. VEHICLE RECOGNITION FOR AEB
4. EXPERIMENTAL VALIDATION
5. CONCLUSIONS
REFERENCES
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