scholarly journals Configurable Sensor Model Architecture for the Development of Automated Driving Systems

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4687
Author(s):  
Simon Schmidt ◽  
Birgit Schlager ◽  
Stefan Muckenhuber ◽  
Rainer Stark
Keyword(s):  
Systems Engineering ◽  
Field Of View ◽  
Practical Application ◽  
Automated Driving ◽  
Sensor Model ◽  
Virtual Vehicle ◽  
Sensor Properties ◽  
Single Sensor ◽  
Sensor Models ◽  
Model Based Systems Engineering

Sensor models provide the required environmental perception information for the development and testing of automated driving systems in virtual vehicle environments. In this article, a configurable sensor model architecture is introduced. Based on methods of model-based systems engineering (MBSE) and functional decomposition, this approach supports a flexible and continuous way to use sensor models in automotive development. Modeled sensor effects, representing single-sensor properties, are combined to an overall sensor behavior. This improves reusability and enables adaptation to specific requirements of the development. Finally, a first practical application of the configurable sensor model architecture is demonstrated, using two exemplary sensor effects: the geometric field of view (FoV) and the object-dependent FoV.

scholarly journals Conjoining Wymore’s Systems Theoretic Framework and the DEVS Modeling Formalism: Toward Scientific Foundations for MBSE

2021 ◽  
Vol 11 (11) ◽  
pp. 4936
Author(s):  
Paul Wach ◽  
Bernard P. Zeigler ◽  
Alejandro Salado
Keyword(s):  
Systems Engineering ◽  
Mathematical Theory ◽  
Discrete Event ◽  
System Specification ◽  
Practical Application ◽  
Software Application ◽  
Research Article ◽  
Modeling Formalism ◽  
Model Based Systems Engineering ◽  
Initial Results

The objective of this research article is to re-introduce some of the concepts provided by A. Wayne Wymore in his mathematical theory of Model-Based Systems Engineering, discuss why his framework might have not been adopted, and define a potential path to modernize the framework for practical application in the digital age. The dense mathematical theory has never been converted to a practical form. We propose a path to modernization by creating a metamodel of Wymore’s mathematical theory of MBSE. This enables explaining the concepts in simple to understand terms and shows the internal consistency provided by the theory. Furthermore, the metamodel allows for conversion of the theory into software application, for which we show some initial results that open the research to the art of the possible. In recognition of limitation of the theory, we make the case for a merger of the theoretical framework with the enhanced formalism of Discrete Event System Specification (DEVS). This will establish a path toward the scientific foundations for MBSE to enable future implementations of the complementary pairing and their empirical results.

Scenario- and Model-based Systems Engineering for Highly Automated Driving

ATZ worldwide ◽  
2020 ◽  
Vol 122 (12) ◽  
pp. 16-21
Author(s):  
Markus Kremer ◽  
Sébastien Christiaens ◽  
Christian Granrath ◽  
Max-Arno Meyer
Keyword(s):  
Systems Engineering ◽  
Automated Driving ◽  
Model Based ◽  
Model Based Systems Engineering ◽  
Highly Automated Driving

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

scholarly journals PROPOSING A SPECIFICATION STRUCTURE FOR COMPLEX PRODUCTS IN MODEL-BASED SYSTEMS ENGINEERING (MBSE)

2021 ◽  
Vol 1 ◽  
pp. 2481-2490
Author(s):  
Joshua Fahl ◽  
Tobias Hirschter ◽  
Gabriel Wöhrle ◽  
Albert Albers
Keyword(s):  
Systems Engineering ◽  
Student Development ◽  
Success Factors ◽  
Research Work ◽  
Development Project ◽  
Product Complexity ◽  
Complex Product ◽  
Complex Products ◽  
Model Based Systems Engineering ◽  
Product Specification

AbstractThis research work presents a methodological support for the specification of complex products. This is achieved by developing a specification structure in a MBSE environment. The new method draws on success factors of complex product specification, principles of MBSE and the explanatory model of PGE – Product Generation Engineering. For evaluation, the method is applied within a student development project. A high applicability and the realization of novel synergies for coping with continuously increasing product complexity is demonstrated.

scholarly journals INTEGRATION OF BLOCKCHAIN TECHNOLOGIE IN CASE OF SYSTEMS ENGINEERING AND SOFTWARE ENGINEERING IN AN INDUSTRIAL CONTEXT

2021 ◽  
Vol 1 ◽  
pp. 1887-1896
Author(s):  
Vahid Salehi
Keyword(s):  
Software Engineering ◽  
Systems Engineering ◽  
Data Entry ◽  
Product Lifecycle Management ◽  
Vehicle Engineering ◽  
Blockchain Technology ◽  
Software Engineering Process ◽  
Lifecycle Management ◽  
Model Based Systems Engineering ◽  
Industrial Context

AbstractCurrently, inconsistent software versions lead to massive challenges for many car manufacturers. This is partly because within the product lifecycle management and the software engineering process, there is no correct handling of software versions for the “data entry” (installation of software on the ECU) of the vehicles. Furthermore, there are currently major challenges for many vehicle manufacturers to ensure transparency, integrity and full traceability of SW data status vis-à-vis the legislator. To counteract these challenges, new solutions in the field of vehicle engineering are to be developed based on a new platform called “CarEngChainNet” and Blockchain technology. On the basis of the “CarEngChainNet” platform, new main and sub-chain chains will be developed that allow tamper-proof SW data management (Peer to Peer and crypto technology) across the entire PLM chain with new methods such as model-based systems engineering of the requirement, function and integration of the SW components in different areas of vehicle development. The aim is to develop new transmission chains of vehicles with individually packaged software artefacts (e.g. ECU software) that can be securely transmitted from server to server into the vehicle.

scholarly journals An Approach to Complement Model-Based Vehicle Development by Implementing Future Scenarios

2021 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Christian Raulf ◽  
Moritz Proff ◽  
Tobias Huth ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Holistic Approach ◽  
Future Scenarios ◽  
Worst Case ◽  
System Architectures ◽  
Vehicle Development ◽  
Model Based ◽  
Scenario Technique ◽  
Stakeholder Needs ◽  
Model Based Systems Engineering

Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the fast-changing trends and requirements, it is necessary to implement future scenarios in the system model. For this purpose, a method is proposed that enables the consideration of future scenarios in model-based vehicle development. The procedure of the method is presented, and the location of the future scenarios within the system architectures is named. The method is applied and the resulting system views are derived based on the application example of an autonomous people mover. With the help of the described method, it is possible to show the effects of a change of scenario (e.g., best-case and worst-case) and the connections with the highest level of requirements: stakeholder needs.

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