Traffic Sign

Traffic sign recognition is a crucial component of autonomous driving and advanced driver-assistance systems, aiming to enable vehicles to accurately interpret road signage for safe navigation. Current research focuses on improving the robustness of recognition models, particularly against adversarial attacks (e.g., deepfakes, invisible modifications) and challenging real-world conditions (e.g., poor lighting, occlusion, glare), often employing architectures like YOLO, convolutional neural networks (CNNs), and vision transformers (ViTs), sometimes in hybrid combinations. These advancements are vital for enhancing the safety and reliability of autonomous vehicles and improving the efficiency of traffic management systems.