A hybrid approach for a vision based driver assistance system with de-weathering

Most of the driver assistance systems do not produce accurate results in poor weather conditions. Poor visibility is considered to be a main reason for accidents. The researchers have paid attention on developing various driver assistance systems in order to assure road safety. Image degradation is a severe problem in computer vision applications such as driver assistance systems, terrain classification and video surveillance. Therefore, it is essential to remove weather effects from images in order to make the vision systems more reliable. The aim of this paper is to prove that the accuracy of the driver assistance systems can be improved when it is integrated with image de-weathering. Various image enhancement methods and vanishing point estimation methods are analysed in order to find the best approach for the proposed system.