DeepDrive

DeepDrive is an autonomous driving research project that combines computer vision for lane detection with reinforcement learning for vehicle control.

The lane detection module uses PyTorch and OpenCV to process real-time video feeds, identifying lane markings and road boundaries with high accuracy. The system employs convolutional neural networks trained on diverse road conditions.

The control system uses deep reinforcement learning algorithms to make driving decisions based on the detected lane information, learning optimal steering and speed control through simulation and real-world testing.