Abstract
Autonomous driving cars are booming these days and the demand for a robust traffic sign recognition system that assures safety by recognizing traffic signs accurately and fast is increasing. We all must have heard about self-driving cars in which the passenger can fully depend on the car for traveling. But to achieve level 5 autonomy, it is necessary for all the vehicles to understand and follow the traffic rules. In the global world of Artificial Intelligence (AI) and advancement in technologies, many researchers and big companies like Tesla, Uber, Google, Mercedes-Benz, Toyota, Ford, Audi, etc are working on autonomous vehicles and self-driving cars Here in this paper we planned to use CNN (convolution_neural_network) algorithm is a part of a deep learning model to classify the images present in the dataset into different categories. It can classify 43 different signs of traffic from the German Traffic Sign Recognition benchmark dataset.
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