DeepMF generates realistic safety-critical driving scenarios in real time by factorizing collision risk into learned opponent selection, trajectory prediction, and collision judgment, then replanning the attack in closed loop.
King: Generating safety-critical driving scenarios for robust imitation via kinematics gradients,
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DeepMF: Deep Motion Factorization for Closed-Loop Safety-Critical Driving Scenario Simulation
DeepMF generates realistic safety-critical driving scenarios in real time by factorizing collision risk into learned opponent selection, trajectory prediction, and collision judgment, then replanning the attack in closed loop.