The Advanced Real-time Traffic Sign Recognition and Integration System for Autonomous Vehicle (AV) navigation uses a combination of computer vision, machine learning, and sensor fusion to identify, interpret, and respond to traffic signs in diverse and dynamic driving environments. The system integrates data from cameras and radar utilizing deep learning algorithms to detect and classify various road signs, such as speed limits, stop signs, and yield signs, in real time. By continuously processing sensor data, the system adapts to varying road conditions, lighting, and weather, ensuring reliable sign recognition even in complex, rapidly changing environments. The integration of these capabilities allows AVs to make informed driving decisions, improving safety and compliance with traffic regulations.
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