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End-to-End Behavioral Cloning for Self-Driving Car

Problem

Need a compact end-to-end policy that can map camera images to stable steering actions.

Method

Trained a CNN policy from driving demonstrations and paired it with PID-based speed regulation.

Results

Produced smoother control behavior and more stable lane following after iterative gain tuning and augmentation.