Raspberry-Pi Based Real Time Lane Departure Warning System using Image Processing

Abstract

Lane detection is an essential component of Advance Driver Assistance system (ADAS). Many different approaches have been proposed till today by researchers but still it is a challenging task to correctly detect the road lanes in various environmental conditions. The main purpose of the system is to detect the lane departure to avoid road accidents and to provide safety for pedestrians. The proposed method detect the road edges using the canny edges detector whereas the feature extraction technique like Hough transform is used in image analysis and digital signal processing. The main input to the system is camera captured images in order to detect and track the road boundaries. This concept of image processing is implemented using Open CV library function on raspberry-pi hardware. This method can correctly detect the roads in various challenging situations. Results shows that the proposed method can detect both the straight and curves lanes correctly.