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

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