Scenario- and Model-based Systems Engineering for Highly Automated Driving
- PDF / 795,428 Bytes
- 6 Pages / 595.276 x 790.866 pts Page_size
- 71 Downloads / 210 Views
enario- and Model-based Systems Engineering for Highly Automated Driving The development of driver assistant systems is becoming more and more complex as the automation level increases, so that alternative development environments have to be considered. FEV and RWTH Aachen University describe how the system complexity can be mastered and the steadily growing verification and validation efforts for the automated driving functions can be controlled using a systems engineering approach.
16
AUTHORS
Dipl.-Ing. (FH) Markus Kremer is Project Engineer ADAS/AD at FEV Europe GmbH in Aachen (Germany).
Dipl.-Ing. Sebastien Christiaens is Head of the ADAS/AD Department at FEV Europe GmbH in Aachen (Germany).
Christian Granrath, M. Sc. is Research Associate Junior to the Professorship for Mechatronic Systems for Combustion Engines at RWTH Aachen University (Germany).
Max-Arno Meyer, M. Sc. is Research Associate Junior to the Professorship for Mechatronic Systems for Combustion Engines at RWTH Aachen University (Germany).
SAFEGUARDING OF DRIVING FUNCTIONS
Currently the most prominent topic, besides the transition from the combustion engine to alternative powertrain technologies, is the development of driving functions for Autonomous Driving (AD). Here the following question is of central importance: Can the most effective and at the same time efficient safeguarding of AD driving functions be achieved within the framework conditions of costs and time? Within the framework of the Pegasus project carried out by the German Aerospace Center (DLR) and funded by the German Federal Ministry of Economics and Energy, the foundations for safeguarding automated driving functions have been laid. This research project primarily addressed the question “How good is good enough?”; in other words, how can meaningful test-ending criteria for AD functions be defined that also promote social acceptance of the new form of mobility? The highway chauffeur function was considered, for which exemplary scenarios were defined to enable validation during development. Based on the approaches of the Pegasus project, FEV conducted a project to develop a driving function for a so-called traffic jam chauffeur and chose a Modelbased Systems Engineering (MBSE) approach as a basis to master the complexity of the requirements in the course of product development with engineering competence. The MBSE approach is essentially based on the principle of Compositional Unified System-Based Engineering (CUBE) used at FEV, in which different levels of abstraction and decomposition are passed through, F IGURE 1.
© FEV
CURRENT STANDARDS
ATZ worldwide 12|2020
At FEV, the development of automated driving functions is based on current standards and norms such as ISO 21448 and, especially for SAE levels 3 to 5, on the current state of research, which is documented in the White Paper “Safety First For Automated Driving” [2]. The key technologies outlined there will be further developed and brought to maturity. In various projects dealing with ADAS/ AD systems and f
Data Loading...
