Three Branch net Lane Detection on Complex Road Condition

Lane detection task is the most necessary part in modern intelligent driving technology. However,there still have many challenge need to be conquered. In this paper,we proposed a three-branch neural network, in this framework, there are several new techniques are used. Including multi-branch, lightweight module,feature recalibration and decoder module,named Three Branch Net. Furthermore, A new dataset have been used, which includes much more complex situation and more close to the real world. Compared with other newest method, experiment results shows the proposed approach is the most effective method in complex road conditions task.