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A Model-Based Approach to Document a System-of-Systems
Volvo Autonomous Solutions, Eskilstuna, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-5269-3900
2021 (English)In: 2021 IEEE International Systems Conference (SysCon), 2021, p. 1-8Conference paper, Published paper (Refereed)
Abstract [en]

The technical evolution enables the development and application of autonomous systems in various domains. In the on-road and off-road vehicle domains, autonomous vehicles are applied in different contexts. Autonomous cars are designed as single system solutions, while in other scenarios, multiple autonomous or semi-autonomous vehicles are integrated into a system-of-systems. We utilize a case from the earth-moving machinery domain, where a fleet of autonomous vehicles is used for transporting material in off-road environments. The traditional industrial development processes in the earth-moving machinery domain focus on single human-operated systems and lack clear support for autonomous system-of-systems. From our studies of industrial development of system-of-systems, we recognize the demand for guidance on how to document a system-of-systems. The goal of this work is to provide a framework using different model-based formalisms. As a structural background, we utilize the SafeSoS process, where each step specifies details about the targeted system-of-systems. Specifically, we apply model-based systems engineering to describe the structure and behavior of each SoS level. We utilize an industrial case to exemplify how model-based concepts can be applied to capture relevant information needed for designing the system-of-systems. This work provides guidelines for practitioners in developing safe system-of-systems.

Place, publisher, year, edition, pages
2021. p. 1-8
Keywords [en]
Conferences;Autonomous automobiles;Modeling;Machinery;Autonomous vehicles;Guidelines;Autonomy;Model-based Development;Model-based Systems Engineering;System-of-Systems;SySML
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-56437DOI: 10.1109/SysCon48628.2021.9591251Scopus ID: 2-s2.0-85119269847ISBN: 978-1-6654-4439-2 (electronic)OAI: oai:DiVA.org:mdh-56437DiVA, id: diva2:1609992
Conference
2021 IEEE International Systems Conference (SysCon 2021) ,15 April - 15 May 2021, Virtual Conference.
Available from: 2021-11-09 Created: 2021-11-09 Last updated: 2021-11-25Bibliographically approved

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Punnekkat, Sasikumar

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