Jucheng Yang

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models

Microscopic traffic simulation has become an important tool for autonomous driving training and testing. Although recent data-driven approaches advance realistic behavior generation, their learning still relies primarily on a single real-world dataset, which limits their diversity and thereby hinder