期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：18
出版社：Journal of Theoretical and Applied
摘要：Lane detection and following is a significant component of vision-based driver assistance systems (DAS), lane detection and tracking methods are the state of the art in present intelligent transportation systems and intelligent vehicle applications. It is however very challenging since the road is in an outdoor scenario imaged from a moving platform. in this paper, we suggest and implement an effective algorithm of real-time line detection and following lane signals to detect the left and right lane boundaries of the line .The proposed algorithm consist of two phases, In the first phases the road is isolation from the image, so, the proposed algorithm in this phase will detect the edges and marks on the road using image processing techniques, also, apply this phase in image taken or video in real time. The second phase in this research, is for how to follow the lines that represent the road signs for a way to take the angles of the neighborhood of each pixel on the line, to be able to know the road is straight or rotate. Lane detection algorithm which is simple, robust, and efficient. Thus, suitable for real-time processing. The main objective of this paper is to implement an effective lane detection and following system, the approach presented here was tested on image and video sequences downloaded from https://www.shutterstock.com/search. All the detection and tracking programs developed using the MATLAB R 2015 b platform.
关键词：Driver Assistance Systems; Lane Detection; Lane Following; Intelligent Vehicle; Neighborhood
