| Authors | Marjan Shahchera |
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| Conference Title | The 6th International Conference on Pattern Recognition and Image Analysis (IPRIA) |
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| Holding Date of Conference | 2023-02-14 - 2023-02-16 |
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| Event Place | 1 - قم |
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| Presented by | دانشگاه تهران - پردیس فارابی |
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| Presentation | SPEECH |
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| Conference Level | International Conferences |
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Abstract
چکیده
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.
کلیدواژه ها
Paper URL
