期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：5
页码：5316-5325
DOI：10.15680/IJIRCCE.2018.0605043
出版社：S&S Publications
摘要：The lane detection and tracking is one of the challenging problems in computer vision. It is one of the
key features of advanced driver assistance system. Lane detection is finding the white markings on a dark road. Lane
tracking uses the previously detected lane markers and corrects/adjusts itself according to the motion model. In this
paper, we implement a real-time positioning method for robotic cars in urban environments. The method uses a robust
lane marking detection algorithm, as well as an efficient shape registration algorithm between the detected lane
markings and a GPS-based road shape. Here, we exploit both the state-of-the-art technologies of visual localization
based on lane marking detection and the wide availability of Global Positioning System (GPS) based localization. We
have evaluated this method with a single forward looking camera mounted on an autonomous vehicle.
关键词：Advanced Driver Assistance System; Lane detection; Lane Tracking; Vehicle Detection; Vehicle
Tracking;
