Traffic signals and other signs like parking, stop signs, etc have become very crucial in autonomous and self-driving cars as it helps the smart system to comply with the basic traffic rules along with that it helps navigate routes based on the signs thus enabling a more secure driving experience for the drivers. There have been a lot of new algorithms that have emerged in the past recent years regarding this. In this paper, we have used the new yolov8 object detection system to help us detect traffic signs as it is much faster and more precise than its previous iterations. To improve the algorithm, we have used a dataset comprising photos of traffic signs taken at different angles and different light intensities. This system can predict the traffic signs with 93% accuracy

Keywords:Traffic sign detection; Deep Learning; yolov8; Autonomous vehicle
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