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Software-Defined Car

Contact: Gunther Schiefer, Fabian Rybinski, Marcus Fechner

Project Status: active


The project partners of the SofDCar consortium are researching with regard to the central challenges of software-driven vehicles. The focus is on the development of software to optimize and enhance vehicle functionality. The vehicle of the fututre is considered to be part of a connected vehicle and system environment, the integration of which is to be realized using a "data loop" and on the basis of a new type of "digital twin". This is intended to enable digital sustainability (of existing and future vehicle generations) as well as effective data utilization and innovative use cases over the entire life cycle of the vehicle (re-deployment).

Involved Persons
Gunther Schiefer, J. Marius Zöllner, Clemens Schreiber, Andreas Oberweis, Fabian Rybinski, Marcus Fechner


from: 1 August 2021
until: 31 Juli 2024
Funding: Bundesministerium für Wirtschaft und Klimaschutz


Universität StuttgartRobert Bosch GmbHFZI Forschungszentrum InformatikETAS GmbHMercedes Benz AGVector Informatik GmbHT Systems International GmbHZF Friedrichshafen AGP3 digital services GmbHBooleWorks GmbHE-mobil BW GmbHFKFS - Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart

Research Group

Applied Technical Cognitive Systems, Business Information Systems

Area of Research

Machine Learning, Business Process Modeling, Business Process Analysis, Deep Learning, Artificial Intelligence, Data Science, Process Mining

Publications Belonging to the Project
 - inproceedings
 - book
 - incollection
 - booklet
 - proceedings
 - phdthesis
 - techreport
 - deliverable
 - manual
 - misc
 - unpublished

Ferdinand Mütsch
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
-, 2023

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