Tootfinder

Improving AEBS Validation Through Objective Intervention Classification Leveraging the Prediction Divergence Principle
Daniel Betschinske, Steven Peters
https://arxiv.org/abs/2507.07872

Improving AEBS Validation Through Objective Intervention Classification Leveraging the Prediction Divergence Principle
The safety validation of automatic emergency braking system (AEBS) requires accurately distinguishing between false positive (FP) and true positive (TP) system activations. While simulations allow straightforward differentiation by comparing scenarios with and without interventions, analyzing activations from open-loop resimulations - such as those from field operational testing (FOT) - is more complex. This complexity arises from scenario parameter uncertainty and the influence of driver inter…