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http://dx.doi.org/10.5302/J.ICROS.2015.15.0055

Camera Calibration Method for an Automotive Safety Driving System  

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)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.21, no.7, 2015 , pp. 621-626 More about this Journal
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
camera calibration; lane detection; inter-vehicle distance; automotive safety driving system;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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