SocialDriveGen: AI Generates Diverse, Controllable Traffic Scenarios

This research focuses on the generation of realistic and diverse traffic scenarios, critical for training and validating autonomous driving systems. The paper's contribution lies in its control over social interactions within these simulated environments.

• •Generates realistic traffic scenarios for autonomous vehicle training.
• •Provides control over social interactions within simulations.
• •Potentially improves the safety and robustness of self-driving systems.