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Autonomous vehicles depend on accurate traffic sign recognition (TSR) to ensure safe navigation.The difficulties with TSR, such as changing sign appearances, light, and occlusions, are examined in this work.We explore deep learning as a potent technique for obtaining reliable and accurate TSR, focusing on convolutional neural networks (CNNs) using extensive, varied datasets to guarantee dependable performance in actual driving situations.In conclusion, this research emphasizes TSR's continued progress and how it could become a key component of autonomous car navigation.
A Wed, study studied this question.