Learning Critical Scenarios in Feedback Control Systems for Automated Driving

Overview

A learning-based optimization framework generates corner tests for automated-driving feedback control within an operational design domain. A scenario-criticality objective is evaluated on two logical scenarios through closed-loop numerical experiments.