A new approach for lane departure identification

This paper introduces a lane-departure identification (LDI) system of vehicles on a road with lane marks. The system perceives the LD by means of an artificial vision relying on an ad hoc approach like a boundary pixel extractor (BPE) to make up the robustness of machine vision. For the LDI, lane-related information composed of the direction and the position of lane boundaries in images is extracted. Then, using the two parameters, it is determined whether or not a vehicle deviates from. its lane. Except for the two parameters, the proposed system does not use any information such as a lane width, a curvature, time to lane crossing, offset between the center of a lane and the center axis of a car body and other vehicle-related data. Besides, a camera calibration, any coordinate transformation, and a road model are not required, too. The system was demonstrated under various situations of changing illumination, in various road types without speed limits showing a quite good performance.