Model-Based Approaches for the Automation of Validation Activities on the Example of Advanced Driver Assistance Systems (ADAS) | KIT-IPEK

February 27, 2020
Mr. Constantin Mandel
IPEK – Institute of Product Engineering at Karlsruhe Institute of Technology (KIT)

Increasing stakeholder demands concerning aspects such as individualization, reliability and safety lead to increasing complexity in the development of modern systems. Examples for such complex systems are found in automated and autonomous mobility. At the same time, automated and autonomous mobility is highly visible to a broad public audience and thus subject to detailed attention of stakeholders.

The automation of driving fundamentally changes individual mobility. In this context, the development of comparatively simple driver assistance systems has shown that new systems still to come for controlling and regulating the driving task imperatively require new development methods. A central aspect of these development methods has to be the validation. Validation is particularly essential where advanced driver assistance systems actively intervene in vehicle guidance and thus assume safety-critical functions. For efficient validation in the product development process, it is necessary to carry out validation activities not only on the final system, but continuously, from purely virtual models to prototypes on the test bench.

Model-based approaches, such as Model-Based Systems Engineering (MBSE), are widely regarded as promising means to handle the above-mentioned system complexity. Nowadays MBSE approaches mostly focus on product synthesis, e.g. the FAS (Functional Architecture for Systems) method addressing the development of a system functional architecture driven by system use cases.

However, MBSE also holds great potential to support product validation. The objective of model-based approaches is to gather and connect information in form of (digital) models. In this way, model-based approaches aim, amongst other, at enhancing communication, interdependence and traceability of essential information during the product development process in comparison to traditional, text-based approaches. However, it is often not possible to gather all information arising throughout the development process in a single interdisciplinary model. In this case, special attention has to be laid on the interconnectedness and interfaces of domain-specific models (such as CAD, FEM or Matlab/Simulink models) and appropriate modeling tools in order to guarantee information consistency and traceability.

This contribution examines the potential of using model-based approaches in the validation of Advanced Driver Assistance Systems (ADAS). The aim of validating ADAS is to investigate the feasibility of setting up a validation environment for the automation of tests within the IPEK-X-in-the-Loop-framework for the continuous validation of advanced driver assistance systems. Therefore, we apply methods from MBSE and connect a variety of models, including (vehicle) simulation models and model-based requirements descriptions, using Model Center.

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