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Camera Calibration Method for an Automotive Safety Driving System

자동차 안전운전 보조 시스템에 응용할 수 있는 카메라 캘리브레이션 방법

  • Park, Jong-Seop (Dpt. of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Kim, Gi-Seok (Dpt. of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Roh, Soo-Jang (Dpt. of Computer Science and Engineering, Korea University of Technology and Education) ;
  • Cho, Jae-Soo (Dpt. of Computer Science and Engineering, Korea University of Technology and Education)
  • 박종섭 (한국기술교육대학교 컴퓨터공학부) ;
  • 김기석 (한국기술교육대학교 컴퓨터공학부) ;
  • 노수장 (한국기술교육대학교 컴퓨터공학부) ;
  • 조재수 (한국기술교육대학교 컴퓨터공학부)
  • Received : 2015.03.30
  • Accepted : 2015.06.02
  • Published : 2015.07.01

Abstract

This paper presents a camera calibration method in order to estimate the lane detection and inter-vehicle distance estimation system for an automotive safety driving system. In order to implement the lane detection and vision-based inter-vehicle distance estimation to the embedded navigations or black box systems, it is necessary to consider the computation time and algorithm complexity. The process of camera calibration estimates the horizon, the position of the car's hood and the lane width for extraction of region of interest (ROI) from input image sequences. The precision of the calibration method is very important to the lane detection and inter-vehicle distance estimation. The proposed calibration method consists of three main steps: 1) horizon area determination; 2) estimation of the car's hood area; and 3) estimation of initial lane width. Various experimental results show the effectiveness of the proposed method.

Keywords

References

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