A CNN (Convolutional Neural Network) is an artificial neural network used to evaluate visual pictures. It is used for visual image processing and is categorised as a deep neural network in deep learning. So, using real-time image processing, an AI autonomous driving model was built using a road crossing picture as an impediment. Based on the CNN model, we created a low-cost approach that can realistically perform autonomous driving. An end-to-end model is applied to the most widely used deep neural network technology for autonomous driving. It was shown that viable lane identification and maintaining techniques may be used to train and self-drive on a virtual road. © 2022 Elsevier B.V., All rights reserved.