Stereo vision based advanced driver assistance system

Abstract

in recent decades, vehicle manufacturers and system suppliers equipping these vehicles have made considerable efforts to improve their technology and road safety. One of the major advances is the introduction of advanced systems for driver assistance. These assistance systems ensure continuous monitoring of the environment of the vehicle and driving mode, so early detection of potentially hazardous situation. In a critical situation, these systems warn and provide active assistance to the driver and, if necessary, they work automatically to avoid a collision or reduce the consequences of an accident. And for better decision making, these autonomous driver assistance systems advanced certainly require devices capable of performing real scenes taken from the external environment of the vehicle. Various advanced systems for driver assistance based vision are already commercially available, but they have limitations regarding the robustness and adaptability to changing lighting and visual conditions. Related to this point, this paper describe an algorithm in image processing capable of improving the quality of acquired images of the external environment, this algorithm must be integrated in a stereoscopic process that allows the reconstruction of images 3D.