European Center for Information
and Communication Technologies
Moving
tomorrow’s
mobility.
EICT is the leading innovation platform
for mobility.
How we move will significantly change over the coming years. Tomorrow’s car as we think of today is automated, connected and electric, and one vision of the future is completely autonomous driving. Our vehicles, traffic, and the means of transport – the field of mobility is where we immediately and comprehensively experience the innovations of digital change, not to mention the new possibilities that lead to new wishes and needs for users.
If you are looking for the right direction and the perfect pace, you must be prepared to research, experiment and create a market. Collaborative innovation allows you to stay one step ahead in the global digital transformation.
We combine our technological expertise in Intelligent Transport Systems with methodological know-how for excellent project results: as coordinator, communicator and innovation consultant by your side. With us, you shape your profile as an innovator and enhance your visibility as a pioneer of future technologies.
PROJECT EXCELLENCE.
Project Management
We apply established project management methods
to structure innovation processes for flagship research
projects targeting future mobility solutions.
STRAIGHT TO THE POINT.
Communications
We provide effective communication and information campaigns
for large-scale multi-partner research projects.
WHAT WILL MOVE US TOMORROW.
Technical Coordination
We guide technical development in the highly specialized fields
of automated driving and connected and electric mobility.
Automated Driving
Safe AI Engineering
Safety argumentation for AI functions over the entire life cycle
Safe AI Engineering
Safety argumentation for AI functions over the entire life cycle
Safe AI Engineering is the central step towards a generally accepted and, above all, practicable safety argumentation for AI functions in automated driving. More safety and better integration of AI are the focus of the research project. The aim is to develop a methodology on the basis of AI engineering for the holistic safeguarding of AI functions in automated driving – from planning, development, testing, application and monitoring through to continuous improvement. The methodology will be developed using an AI perception function for pedestrian detection and tested in three use cases with increasing complexity: From a static scene with a pedestrian to dynamic, realistic traffic situations.
Expertise
Project management, Coordination, Data Management, Communication, Event Management
Contact
Marita Rieck, marita.rieck(at)eict.de
Homepage →
https://safe-ai-engineering.de/en/home/
Duration: 36 months | March 2025 – February 2028
Budget: 34,5 million € | Funding by BMWK: 17,2 million €
Coordinator: Dr. Ulrich Wurstbauer, Luxoft GmbH | Dr. Frank Köster, DLR
Number of Partners: 24
Partners:
DXC Luxoft GmbH, Deutsches Zentrum für Luft- und Raumfahrt e.V., Akkodis Germany GmbH, AVL Deutschland GmbH, Bundesanstalt für Straßen- und Verkehrswesen, Bertrandt Ing.-Büro GmbH, Robert Bosch GmbH, Capgemini Engineering Deutschland S.A.S. & Co KG, Cariad SE, Continental Automotive Technologies GmbH, Fraunhofer-Gesellschaft e.V., FZI Forschungszentrum Informatik, Intel Deutschland GmbH, Karlsruhe Institute of Technology (KIT), Mercedes-Benz AG, Opel Automobile GmbH, Porsche AG, Spleenlab GmbH, Technische Universität Berlin, Technische Universität Braunschweig, TÜV AI.Lab GmbH, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG
Project in progress
Automated Driving
nxtAIM
Generative methods for perception, prediction and planning
nxtAIM
Generative methods for perception, prediction and planning
The project nxtAIM – NXT GEN AI METHODS leverages advancements in the development of generative AI methods and will, for the first time introduce bidirectional information flow in the chain of effects – a paradigm shift in development that promises massive improvements in automated driving. A better scalability through an inexhaustible reservoir of data for offline testing, validation, training, and online error detection. A better transferability through the ability to deconstruct and recombine semantic information and extend the Operational Design Domain (ODD) by targeted scenario and sensor data generation. A better traceability through online verification, plausibility checks of individual processing steps in in the chain of effects during operation and understanding of latent representations.
Expertise
Project Management, Technical Coordination, Communication and Event Management, Data Management
Contact
Dr. Niko Papamichail, niko.papamichail(at)eict.de
Homepage →
https://nxtaim.de/en/home/
Duration: 36 months | January 2024 – December 2026
Budget: 43,5 million € | Funding by BMWK: 27 million €
Coordinator: Dr. Jörg Reichardt, Continental
Number of Partners: 20
Partners:
Continental Automotive Technologies, Aptiv Services Deutschland, AVL Deutschland, Capgemini Engineering, DENSO Automotive Deutschland, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), dSPACE, Forschungszentrum Jülich, FZI Forschungszentrum Informatik, HELLA, HELLA AGLAIA MOBILE VISION, Hochschule für angewandte Wissenschaften München, IPG Automotive, Ludwig-Maximilians-Universität München, Mercedes-Benz AG, Technische Universität Berlin, Universität Freiburg, Universität Tübingen, Valeo Schalter und Sensoren, ZF Friedrichshafen
Project in progress
Automated Driving
jbDATA
Efficient and highly accurate data generation for AI applications in the field of autonomous driving
jbDATA
Efficient and highly accurate data generation for AI applications in the field of autonomous driving
Expertise
Project Management, Technical Coordination, Dissemination, Event Management, Data Management
Contact
Tobias Zajusch, tobias.zajusch(at)eict.de
Homepage →
https://www.justbetterdata.de/en/home/
Duration: 36 months | July 2023 – June 2026
Budget: 14,45 million € | Funding by BMWK: 8,61 million €
Coordinator: Dr. Azarm Nowzad, Continental AG
Number of Partners: 8
Partners:
Continental AG, Mercedes-Benz AG, Valeo Schalter und Sensoren GmbH, AVL Software and Functions GmbH, AVL Deutschland GmbH, FZI Forschungszentrum Informatik, Luxoft GmbH, b-Plus GmbH, Technische Hochschule Deggendorf
Project in progress
Automated Driving
Hi-Drive
Addressing challenges towards the deployment of higher automation
Hi-Drive
Addressing challenges towards the deployment of higher automation
The Hi-Drive project addresses a number of key challenges which are currently hindering the progress of developments in vehicle automation. The key aim of the project is improve automated driving functions and cover a large set of traffic environments. By extending the ODD (Operational Design Domain) a higher automation level can be reached which reduces the frequency of takeover requests for the driver.
Expertise
Project Management, Dissemination, Event Management, Exploitation, User Studies
Contact
Philippe Stehlik, philippe.stehlik(at)eict.de
Homepage →
https://www.hi-drive.eu/
Duration: 54 Months | July 2021 – November 2025
Budget: 60 million € | Funding by European Union: 30 million €
Coordinator: Aria Etemad, Volkswagen Group Innovation
Number of Partners: 40
Partners:
Volkswagen AG, Audi AG, BMW Group, Stellantis, Ford, Honda, Toyota Motor Europe, Hyundai Motor Group, LAB, Seat, Volvo, Aptiv Services Deutschland GmbH, AAI, FEV.io GmbH, NNG, ARILOU, PTV Group, Valeo, DLR – Deutsches Zentrum für Luft- und Raumfahrt, University of Genoa, IKA – Institut für Kraftfahrzeuge der RWTH Aachen University, ICCS – Institute of Communication and Computer Systems, SAFER at Chalmers, SNF – Centre for Applied Research at NHH, University of Leeds, WIVW – Würzburg Institute for Traffic Sciences, TNO – Netherlands Organisation for Applied Scientific Research, VTT Technical Research Centre of Finland Ltd, WMG – University of Warwick, FIA – Fédération Internationale de l’Automobile, AZT Automotive GmbH, Swiss Reinsurance Company, ADAS Management Consulting, TU Delft, Institut VEDECOM, IRF – International Road Federation, CTAG, TÜV SÜD, bast, Automobile Club Association, Automobile Club d’Italia, AMZS, anwb, AL autoliitto, HAK, iAM RoadSmart, Magyar Autoklub, Royal Automobile Club, RACC, EICT GmbH
