Configuration Framework for Fail-Operational Functions
Autonomous driving functions must continue to function correctly, at least temporarily and with degraded performance, even in the event of hardware or software faults. The complexity of autonomous driving functions and today's automotive hardware/software stacks makes the design of efficient fail-operational architectures a challenging and expensive task. Therefore, the project investigates methods for the automatic synthesis of architectures and platform configurations for fail-operational functions.
CoFFF builds on fortiss‘ AutoFOCUS3 model-based engineering tool and research platform as well as the autonomous driving use case investigated in the fortissimo demonstrator.
The project investigates innovative architecture synthesis methods based on model-based engineering and formal methods. It provides an extension for fortiss‘ open source model-based engineering tool AutoFOCUS3 that will be used to derive a fail-operational architecture for the fortissimo autonomous driving demonstrator simulation.
Supported by Huawei Technologies Düsseldorf GmbH
01.01.2021 - 31.01.2022