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자동차 안전운전 보조 시스템에 응용할 수 있는 카메라 캘리브레이션 방법
박종섭,김기석,노수장,조재수,Park, Jong-Seop,Kim, Gi-Seok,Roh, Soo-Jang,Cho, Jae-Soo 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.21 No.7
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.
자동차 안전운전 보조 시스템에 응용할 수 있는 카메라 캘리브레이션 방법
박종섭(Jong-Seop Park),김기석(Gi-Seok Kim),노수장(Soo-Jang Roh),조재수(Jae-Soo Cho) 제어로봇시스템학회 2015 제어·로봇·시스템학회 논문지 Vol.18 No.1
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.