Self-driving robot cars using image processing and deep learning

In the field of image processing, image recognition is one of the major challenges for researchers in recent years. The goal of recognition is to detect and extract features in the images to classify samples into different layers. One problem of great interest in this field is self-driving robot cars using image processing. The aim of this research is to present a deep learning method to solve the path recognition matter for robots. A self-driving robot model will be built based on the convolutional neural network with the use of different layers to automatically extract the best features in the image. Experimentation procedure has been carried out and results with low error rates had been obtained