DefinePK

Abstract

Visually detecting and tracking lane markings on the road is a difficult task. The challenges faced on the road are different lighting, raining, poor lane markings, and objects on the road. This paper presents a different method to detect and track lane markings. The system carefully selects region of interests from the road image for image processing and recognition, avoiding the need to process large part of the image. The feature extraction is based on modified local threshold that is robust to different lighting condition. The line recognition is based on template matching that imitates the orientation columns of visual cortex. Detection of lane marking is done by scanning the road image for line pattern and the line is trace to complete the detection. When detection is complete, the system will track the lane marking with simple alignment algorithm. The lane marking detection and tracking system was tested on the road, in speed up to 70 km/h. The system is able to detect lane markings under cast shadows, variable ambient lighting and raining conditions, with low processing power.