한국자동차공학회논문집 (Transactions of the Korean Society of Automotive Engineers)

  • 제24권6호
  • /
  • Pages.627-634
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  • 2016
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  • 1225-6382(pISSN)
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  • 2234-0149(eISSN)
한국자동차공학회 (The Korean Society of Automotive Engineers)
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차선 이탈 경고 시스템의 성능 검증을 위한 가상의 오염 차선 이미지 및 비디오 생성 방법

Virtual Contamination Lane Image and Video Generation Method for the Performance Evaluation of the Lane Departure Warning System

  • 곽재호 (한양대학교 전자컴퓨터통신공학과) ;
  • 김회율 (한양대학교 전자컴퓨터통신공학과)
  • Kwak, Jae-Ho (Department of Electronics and Computer Engineering, Hanyang University) ;
  • Kim, Whoi-Yul (Department of Electronics and Computer Engineering, Hanyang University)
  • 투고 : 2014.05.30
  • 심사 : 2016.08.17
  • 발행 : 2016.11.01
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초록

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.

키워드

참고문헌

  1. S. W. Lee, "Intelligent Transport System in Japan," Transactions of KSAE, Vol.25, No.5, pp.48-51, 2003.
  2. T. Gandhi and M. M. Trivedi, "Pedestrian Protection System: Issues, Survey, and Challenges," IEEE Transaction on Intelligent Transportation System, Vol.8, No.3, pp.413-420, 2007. https://doi.org/10.1109/TITS.2007.903444
  3. R. Bishop, "A Survey of Intelligent Vehicle Applications Worldwide," IEEE Intelligent Vehicles Symposium, pp.25-30, 2000.
  4. L. Vlacic, M. Parent and F. Harashima, "Intelligent Vehicle Technologies," Butterworth Heinemann, Oxford, 2001.
  5. D. Y. Kim, S. W. Jo, M. W. Soh, J. J. Kwon, T. W. Hong and K. H. Park, "Development of Crash Simulation Environment for Developing Secondary Crash Avoidance Algorithm," KSAE Annual Conference Proceedings, pp.510-513, 2013.
  6. S. Y. Ki, H. K. Lee and I. B. Yang, "Development of VR Simulation System for the Collision Avoidance System Test and Evaluation," KSAE Fall Conference Proceedings, pp.521-521, 2008.
  7. S. Jang, S. J. Kwon, J. H. Chun, K. Y. Cho and M. W. Suh, "Development of the VR Simulation System for the Study of Driver's Perceptive Response," Transactions of KSAE, Vol.13, No.2, pp.149-156, 2005.
  8. A. A. Efros and T. K. Leung, "Texture Synthesis by Non-parametric Sampling," IEEE Int. Conf. on Computer Vision, Vol.2, pp.1033-1038, 1999.
  9. L. Y. Wei and M. Levoy, "Fast Texture Synthesis Using Tree-structured Vector Quantization," SIGGRAPH, pp.479-488, 2000.
  10. X. Zhang and S. Liu, "Texture Transfer in Frequency Domain," 6th Int. Conf. on Image and Graphics, pp.123-128, 2011.
  11. D. H. Jeong, "Intelligent Safety System Technology Trends," Korea Automotive Technology Institute, pp.1-5, 2012.
  12. J. K. Lee and I. S. Lee, "Intelligent Advanced Safety Vehicle Technology Development," Auto Journal, KSAE, Vol.28, No.4, pp.22-27, 2006.
  13. Wikipedia, 3D Projection, http://en.wikipedia.org/wiki/3D_projection, 2014.
  14. Wikipedia, Alpha Compositing, http://en.wikipedia.org/wiki/Alpha_blending#Alpha_blending, 2014.

피인용 문헌

  1. Study on Efficient Homogeneous Illumination of Automotive Cup Holder vol.26, pp.1, 2018, https://doi.org/10.7467/KSAE.2018.26.1.113