The driverless car based on the online learning platform realizes the red light recognition and lane line recognition

This paper describes how to use online learning platform for traffic light identification, as well as including lane-line identification. First, the traditional traffic light and lane-line identification method were explained; then explaining the concept of neural network and its application in driverless car field; finally, the paper explains how to use the learning platform on the line to train, which can get outputs the model. Using the model, we will get the corresponding results. Based on the continuous optimization of previous studies, this paper makes full use of the advantages of online learning platforms to improve learning methods, to some extent, which enables students to broaden their minds and understand the important position of deep learning in the field of unmanned driving.