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http://dx.doi.org/10.5762/KAIS.2010.11.8.2942

Development of Embedded Lane Detection Image Processing Algorithm for Car Black Box  

Yi, Soo-Yeong (Department of Electrical Engineering, Seoul National University of Technology)
Ryu, Ji-Hyoung (Division of Electronics Engineering, Chonbuk National University)
Lee, Chang-Goo (Division of Electronics Engineering, Chonbuk National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.8, 2010 , pp. 2942-2950 More about this Journal
Abstract
Car black box helps to investigate the cause of accident by recording time, position and videos as well as shock information. In addition, the car black box need a function to support safe driving for preventing accident. The representative driving support function is a lane departure warning. In order to implement the function, it is necessary to carry out the image processing to detect the lane first. The image processing algorithm requires computational burden to handle so much data and complicated structure of algorithm. This paper describes the efficient image processing algorithm with relatively low amount of computation for car black box embedded platform to detect lanes from the real-time lane image.
Keywords
Car black box; Lane detection; Embedded algorithm; Hough transform;
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1 류지형, 이수영, 이창구, 김성도, "차량용 블랙박스를 위한 차선인식 소프트웨어 개발", 제어로봇시스템학회, 한국로봇학회 합동학술발표대회 논문집, pp. 231-233, 2009.
2 http://www.etnews.co.kr
3 G. Hamarneh, K. Althoff and R. Abu-Gharbieh, "Automatic Line Detection", Project Report for the Computer Vision Course, 1999.
4 http://www.path.berkeley.edu/PATH/Research
5 이준웅, "영상처리 기반의 차선인식 알고리즘", 제어자동화시스템공학회논문지, 제4권, 제6호, pp. 759-763, 1998.   과학기술학회마을
6 최승욱, 이장명, "이동창을 이용한 차선인식 및 장애물 감지", 전자공학회논문지, 제36권, 제1호, pp. 93-103, 1999.
7 이은수 외, "차선이탈경보시스템", 우수신기술 지정, 지원사업 최종보고서, 정보통신부, 2004.
8 http://www.bns.co.kr
9 R. Jain, R. Kasturi and B. G. Schunck, Machine Vision, McGraw-Hill, 1995.
10 Z. Kim, "Robust Lane Detection and Tracking in Challenging Scenarios", IEEE Tr. on Intelligent Transportation Systems, vol. 9, no. 1, pp. 16-26, 2008.   DOI