In the 21st century, with the progress of computer computing capability and the rapid development of machine learning, automatic driving technology is becoming more and more perfect. Nowadays, the field of autonomous driving technology has become a “strategic highland” for various vehicle companies. Lane detection is a key task in this field, which plays a vital role in the decision-making of automatic driving. At present, deep learning has made great achievements in various fields of computer vision, and it is also widely used in the field of lane detection. Compared with traditional image processing methods, the deep learning method is less affected by environmental and climate changes and has higher generalization ability, so the lane line recognition results output by this method are more stable.