A simulation-based testing framework combines covering arrays with temporal-logic-guided search to automatically find driving scenarios where an autonomous vehicle with a deep neural network perception component violates stated safety requirements.
Key considerations in the development of driving automation systems,
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Requirements-driven Test Generation for Autonomous Vehicles with Machine Learning Components
A simulation-based testing framework combines covering arrays with temporal-logic-guided search to automatically find driving scenarios where an autonomous vehicle with a deep neural network perception component violates stated safety requirements.