Home Proceedings
DeiT Model for Iranian Traffic Sign Recognition in Advanced Driver Assistance Systems
Oral Presentation XML
Authors
1Artificial Intelligence Department, Faculty of Engineering ,University of Kashan ,Kashan, I.R. Iran (03132233012)
2Assistant Professor, University of Kashan
Abstract
Due to the important relationship of the impact of accurate detection of traffic signs in self-driving cars and driver assistance during car movement, it is very challenging and necessary to create a high-accuracy system for interpretation and immediate decision-making. In this research, by applying the new vision transformer DeiT approach, a system is designed that can recognize Iranian traffic signs. we trained our model with a two collections of traffic signs images (GTSRB, PTSD) that reaches a higher accuracy of 99.5% and 98.8% respectively in optimal conditions.
Keywords
 
Proceeding Title [Persian]
DeiT Model for Iranian Traffic Sign Recognition in Advanced Driver Assistance Systems
Authors [Persian]
Abstract [Persian]
Due to the important relationship of the impact of accurate detection of traffic signs in self-driving cars and driver assistance during car movement, it is very challenging and necessary to create a high-accuracy system for interpretation and immediate decision-making. In this research, by applying the new vision transformer DeiT approach, a system is designed that can recognize Iranian traffic signs. we trained our model with a two collections of traffic signs images (GTSRB, PTSD) that reaches a higher accuracy of 99.5% and 98.8% respectively in optimal conditions.
Keywords [Persian]
traffic sign recognition، advanced driver assistance system، vision transformer، DeiT، autonomous vehicles systems