Traffic Sign Classification involves using machine learning models, particularly convolutional neural networks, to automatically identify and categorize traffic signs from images. This technology is crucial for developing autonomous driving systems and enhancing driver assistance features by ensuring vehicles can accurately interpret road signs in real-time.