Smart Driving Assistance Using Deep Learning

This research paper presents a smart driving assistance system that utilizes deep learning for lane detection and departure alert, traffic sign detection, and voice alerts. The system uses a combination of computer vision techniques and neural networks to detect lanes and traffic signs in real-time. The lane departure alert feature alerts the driver when the vehicle begins to drift out of its lane, and the traffic sign detection feature identifies and alerts the driver of any traffic signs that are relevant to the current road. The voice alert feature provides an additional layer of safety by audibly alerting the driver of any detected traffic signs. The proposed system has been evaluated on a dataset of real-world driving scenarios and has shown promising results in terms of accuracy and efficiency.