Traffic Signs Detection Using Machine Learning Algorithms

Abstract

With the rapid advancement and developments in the Automobile industry, that day is not far when each of us would be owning their own Autonomous Vehicle. Although manufacturing of a full proof Autonomous Vehicle has its own fair share of challenges. The main challenge that lies in front of us, is imbibing the latest technologies and advancements into the conventional vehicles we already have. This paper discusses one such technology that we can incorporate in our vehicle, to direct the Conventional Vehicle into becoming an Autonomous Vehicle in future. The user would be able to classify Traffic Signs on Road, which would help him/her to understand what that sign signifies, i.e. what rules the driver must follow while driving on that particular road. We use Machine Learning Classification Algorithms like k-Nearest Neighbors, Random Forest and Support Vector Machine on our dataset, to compute the best accuracies in the process as well.