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논문 기본 정보

자료유형
학술저널
저자정보
곽재호 (한양대학교) 김회율 (한양대학교)
저널정보
한국자동차공학회 한국자동차공학회논문집 한국자동차공학회논문집 제24권 제6호
발행연도
2016.11
수록면
627 - 634 (8page)

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초록· 키워드

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In this paper, an augmented video generation method to evaluate the performance of lane departure warning system is proposed. In our system, the input is a video which have road scene with general clean lane, and the content of output video is the same but the lane is synthesized with contamination image. In order to synthesize the contamination lane image, two approaches were used. One is example-based image synthesis, and the other is background-based image synthesis. Example-based image synthesis is generated in the assumption of the situation that contamination is applied to the lane, and background-based image synthesis is for the situation that the lane is erased due to aging. In this paper, a new contamination pattern generation method using Gaussian function is also proposed in order to produce contamination with various shape and size. The contamination lane video can be generated by shifting synthesized image as lane movement amount obtained empirically. Our experiment showed that the similarity between the generated contamination lane image and real lane image is over 90 %. Futhermore, we can verify the reliability of the video generated from the proposed method through the analysis of the change of lane recognition rate. In other words, the recognition rate based on the video generated from the proposed method is very similar to that of the real contamination lane video.

목차

Abstract
1. 서론
2. 관련연구
3. 오염 이미지 생성 방법
4. 비디오합성
5. 실험결과
6. 결론
References

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UCI(KEPA) : I410-ECN-0101-2017-556-001647998