Road Lane Detection and Lane Type Classification for Autonomous Driving : Method Based on Chronologically Detected Road Feature Parameters

抄録

In order to provide safe and precise autonomous driving for vehicles, a robust road lane detection and classification is needed. This research presents an image processing method based on Hough Transform, line filters and vanishing point, extracting road features parameters chronologically for estimating occluded lanes. Once the lanes are detected, they are classified in solid or dashed line. This method improved road lane detection and classification comparing to existing methods.