%0 Conference Paper %F Oral %T A simulation-based framework for functional testing of automated driving controllers %+ IRT SystemX %+ Laboratoire National de Métrologie et d'Essais [Trappes] (LNE ) %A Djoudi, Adel %A Coquelin, Loic %A Regnier, Rémi %Z Article published in proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems (September 20 – 23, 2020) %< avec comité de lecture %Z 3SA %B The 23rd IEEE International Conference on Intelligent Transportation Systems %C Virtual Conference, Greece %8 2020-09-20 %D 2020 %Z Computer Science [cs]/Modeling and Simulation %Z Computer Science [cs]/Systems and Control [cs.SY] %Z Computer Science [cs]/Performance [cs.PF] %Z Mathematics [math]/Optimization and Control [math.OC]Conference papers %X Motion planning is a major component of any automated driving system. The safety assessment of such components requires a formal characterization of the perception and control mechanisms. This requires dedicated tools and models for the environment, sensors and vehicles that are highly representative of the real world. Simulation is a method to virtually investigate the behavior of systems under study. It has a key role to play in demonstrating the safety of autonomous vehicles. In this context, we consider a control module as a black-box and try to determine a reference which represents the 'right decision', if it exists. An optimization-based reference model is created for the control function. This model allows each scene in the environment to be mapped to the desired decision regardless of the black-box. The black-box and the reference model are run on several critical scenarios. In output, an assessment of decision making is performed along with systematic criticality characterization of targeted scenarios. %G English %2 https://hal.science/hal-02862369/document %2 https://hal.science/hal-02862369/file/a_simulation_based_framework_for_functional_testing_of_automated_driving_controllers.pdf %L hal-02862369 %U https://hal.science/hal-02862369 %~ INSMI %~ TDS-MACS %~ IRT-SYSTEMX %~ LNE