Research papers · Posted 2022.04.28 · Preprint
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients
Overview
KING uses kinematic bicycle-model gradients to optimize background traffic into critical CARLA scenarios. Rule-based expert solutions become imitation-learning fine-tuning data, with collision avoidance evaluated on held-out generated and manually designed scenarios.
Version: v1