SofDCar/en
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Software-Defined Car |
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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).
- 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 Stuttgart, Robert Bosch GmbH, FZI Forschungszentrum Informatik, ETAS GmbH, Mercedes Benz AG, Vector Informatik GmbH, T Systems International GmbH, ZF Friedrichshafen AG, P3 digital services GmbH, BooleWorks GmbH, E-mobil BW GmbH, FKFS - Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart
Applied Technical Cognitive Systems, Business Information Systems
Machine Learning, Business Process Modeling, Business Process Analysis, Deep Learning, Artificial Intelligence, Data Science, Process Mining
article
Ferdinand Mütsch
From Model-Based to Data-Driven Simulation: Challenges and Trends in Autonomous Driving
-, 2023
(Details)
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