Lane Detection with Deep Learning: Methods and Datasets

Abstract

Lane detection problem has been considered as an important computer vision task in autonomous driving. While it has received massive research attention in the literature, the problem is not yet fully solved. In this paper, a comprehensive literature review for lane detection, especially those with deep learning models, is presented. Furthermore, the latest collection of lane detection datasets is presented. The research gap is further filled by proposing a novel lane detection dataset named MudLane, which focuses on the lane detection task on suburban roads.