Safe and autonomous driving through model-based systems engineering
With the Mobility Lab, fortiss demonstrates how cyber-physical systems (CPS) can be developed on-time and in a cost-efficient manner, despite evolving requirements and distributed supply chains.
Using driver assistance systems and autonomous driving functions as an example, the Mobility Lab demonstrates complex system modeling and illustrates how this abstraction enables a significant increase in development efficiency through automation of the process steps. These activities focus on automatic processes for making design decisions at an early stage, so that system architectures can be optimally structured while taking into account complex requirements. The Mobility Lab furthermore demonstrates continuous quality assurance and validation approaches.
The approaches developed by fortiss include model-based methods for
The fortissimo miniature vehicles make it possible to become familiar with this approach by means of an easy-to-understand, yet realistic system and on the basis of open-source solutions developed by fortiss. One of these solutions is AutoFOCUS3, a model-based tool for safety-critical embedded systems. The software-based functions model created with AutoFOCUS3, as well as the vehicle computing architecture, serve as the starting point for demonstrating the optimization and analysis process. Using driver assistance functions such as lane assistant and cruise control, their effectiveness and efficiency are validated in a graphical simulation and via code generation by means of the miniature vehicles.
Using a realistic end-to-end example, the Mobility Lab makes model-based CPS engineering tangible by means of an open-source stack, and in the process demonstrates how the abstraction can make system complexity manageable, from the early design phase to the finished system. In addition, by automating the development steps, companies can increase quality and efficiency while reducing costs.