CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories

Overview

CaDRE combines real trajectories, domain knowledge and black-box optimization to generate controllable safety-critical scenarios. Tests across representative traffic situations compare diversity, scenario quality and sample efficiency against reinforcement-learning and sampling baselines.