A volume-based safety metric that counts the proportion of risky scenarios, with a convexity proof for linear car-following, is demonstrated on six production ACC models.
Conference on robot learning, 1--16 (PMLR)
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Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method
A volume-based safety metric that counts the proportion of risky scenarios, with a convexity proof for linear car-following, is demonstrated on six production ACC models.