Real Time Lane Detection in Autonomous Vehicles Using Image Processing

Abstract

The aim of this research is to detect and analyze the drivable path ahead of the autonomous vehicles by implementing path detection algorithms in MATLAB. This study presents a technique for real time detection of lanes marked on the road that can be used in autonomous vehicles. Since, for safe navigation of autonomous vehicles, detection of drivable path is a key requirement. Painted road markings on rural, urban roads and highways help to detect precisely the road area for the vehicle to move. Lane detection algorithms aim at finding the edges or boundaries of road within which vehicle can move. This target is accomplished by the use of camera set up on the vehicle that tracks road ahead of the vehicle. Lanes are detected through processing of each frame of video by edge detection and Hough transform techniques. This system can be further make compatible with the hardware of the vehicle to take certain actions depending on the detections made. This study presents potential approaches and requirements that are needed for detection of lanes, its algorithm and result.