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
- 2011.10
- 수록면
- 1,288 - 1,293 (6page)
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초록· 키워드
오류제보하기
Vehicle detection and distance estimation system has become important due to their assistance in reducing vehicle accidents. Therefore, an efficient vehicle detection and distance estimation algorithm using a knowledge-based method and image segmentation technique has been developed. The proposed algorithm can detect and estimate the distance of the preceding vehicle under various road conditions using a single CCD camera of 16 mm and 25 mm focal lenghts mounted on a vehicle. A GPU implementation of this proposed algorithm is introduced to enable our proposed system to support real-time processing. Experimental results under various road and weather conditions prove that our proposed system is suitable for a real-time system.
목차
Abstract
1. INTRODUCTION
2. RELATEDWORK
3. VEHICLE DETECTION
4. IMPLEMENTATION OF VEHICEDETECTION USING GPU
5. EXPERIMENTAL RESULTS
6. CONCLUSION
7. ACKNOWLEDGMENTS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2014-569-000914642