Artificial Intelligence Applications in Autonomous Vehicles: Training Algorithm for Traffic Signs Recognition

Abstract

As the last point of autonomous vehicle development, these vehicles are being evolved by most of the car manufacturing companies, which increases the need for novel image recognition and automation solutions. This paper presents autonomous driving for vehicles at the stage of level 2 (partial Automation; the vehicle can perform steering and acceleration, though the human driver still monitors all tasks and can take control at any time). YOLO (You Only Look Once), is a Python-based image processing algorithm that was used to achieve the goals. This algorithm is extremely useful due to its real-time capabilities. A new data set was gathered using miniature signs, and a Python script was developed to label these newly trained objects. The algorithm draws bounding boxes around the object with object name and the rates of accuracy. The created system performs well, with further plans to improve it, and apply it in a simulated/modelled environment.