Hybrid Modeling for the Assessment of Complex Autonomous Systems - A Safety and Security Case Study

Rhea Rinaldo, Timo F. Horeis, Tobias Kain

In: Bruno Castanier, Marko Cepin, David Bigaud, Christophe Berenguer (editor). Proceedings of the 31th European Safety and Reliability Conference. European Safety and Reliability Conference (ESREL-2021) September 19-23 Angers France ESREL 2021 31 ISBN 978-981-18-2016-8 Research Publishing Singapore 2021.


The automotive industry is facing various challenges with the introduction of autonomous vehicles. One significant aspect is the assessment and verification of safety and security concerns that the legislators and the public demand. New methods and tools are needed to analyze and assess these advanced systems by considering all relevant features and parameters, such as the interdependencies of safety and security while keeping the time effort reasonable. Hybrid models combining fast and accurate analytical approaches with relatively slow but realistic numerical approaches may be the answer to assess these complex systems while conquering state-explosion problems. In this paper, we apply an existing hybrid model that combines an analytical and a numerical method on a complex autonomous system to perform a holistic safety and security assessment. Thereby we assess the system under two safety-relevant assessment modes, representing different fail-operational behaviors of the system. The goal is to show that the hybrid model is capable of assessing realistic system architectures while allowing the consideration of different assessment modes.


German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz