Explainable Statistical Evaluation of Emergency Braking Functions in Scenario-Based Safety Testing

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Authors: Stefan-Alexander Schneider, Rainer Faller, Shreyas Nanikar, Patrick Svinger
Cited by: 1

Abstract

This article presents the integration of the Explainable Statistical Evaluation method (ESE) with an Autonomous Emergency Braking (AEB) using the software library FASim in the context of the European New Car Assessment Programme Car-to-Pedestrian Nearside Child Obstructed 50% scenario (Euro NCAP CPNCO-50 scenario). ESE integrates qualitative and quantitative safety methods for an easy to explain justification of functional safety (FuSa) and safety of the intended functionality (Sotif) for complex systems. The article addresses the European Union’s call for objective, coherent safety metrics for Connected and Automated Vehicles and shows how simulation-based test generation can support a statistically sound argument for safety, for which validation tests do not provide sufficient evidence.

Fields of Study & Subjects

Autonomous Vehicle Technology and Safety Adversarial Robustness in Machine Learning Automotive and Human Injury Biomechanics

Publication details

Journal / source
Frontiers in artificial intelligence and applications
Publisher
IOS Press
Publication date
27 January 2026
Document type
Book chapter