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Cheng-Yuan Ma

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#artificial intelligence Preprint Oct 2026

How corner is a corner case? Percentile control for highway scenario generation

Generating corner-case scenarios with appropriate adversity in a simulation environment is critical for testing an autonomous vehicle (AV) software stack's safety performance before deployment. Existing autonomous-driving scenario generators can enforce specific behavior, adversity, or feasibility conditions, but they...

Jia-Xi Liu, Hang Zhou, Hang-Yu Li et al. · 0 citations
Open access Sep 2026

Style2Risk: A Closed-Loop Testing System for Safety Evaluation of Automated Vehicles Under Style-Conditioned Adversarial Interactions

Closed-loop safety evaluation requires traffic agents that expose planner weaknesses without producing arbitrary behavior. Existing adversarial tests often couple behavior generation, risk search, and failure counting, limiting control over how interactions are created and whether repeated events constitute new evidenc...

J. Lai, Meng Wang, Zhen Zhang et al. · 0 citations

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