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Moving tomorrow's mobility.

European Center for Information and Communication Technologies

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.

EICT is the leading innovation platform for mobility.

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.
 

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Project Management

PROJECT EXCELLENCE.

We apply established project management methods to structure innovation processes for flagship research projects targeting future mobility solutions.

Communications

STRAIGHT TO THE POINT.

We provide effective communication and information campaigns for large-scale multi-partner research projects.

Technical Coordination

WHAT WILL MOVE US TOMORROW.

We guide technical development in the highly specialized fields of automated driving and connected and electric mobility.

Future Studies

MAKE THE FUTURE PLANABLE.

We have been supervising the Münchner Kreis “Future Study” as a consultant on mobility topics and expert for designing empirical studies.

AI-SEE

Automated Driving

Artificial Intelligence enhancing vehicle vision in low visibility conditions

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AI-SEE

Artificial Intelligence enhancing vehicle vision in low visibility conditions

AI-SEE will develop a novel sensing technology with associated AI enabling automated driving in all relevant weather and lighting conditions (e.g. snow, heavy rain or fog) in a 24h/365-day mode. Thereby, AI-SEE will extend the Operational Design Domain (ODD) of automated vehicles and extend the technology from today’s SAE level 3 (conditional automation) to SAE level 4 (high automation) where vehicles can drive themselves with no human interaction in almost any circumstances.

Expertise:
Coordination, Project Management, Dissemination, Exploitation
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
External Link:
Duration:
36 months | 01.06.2021 – 01.06.2024
Budget:
€21.81 million | Labelled by PENTA EURIPIDES² and co-funded by public national authorities : €9.75 million
Coordinator:
Dr. Werner Ritter, Mercedes-Benz AG
Number of Partners:
21
Partners:
Mercedes Benz AG, Patria Land Oy, Veoneer Sweden AB, Robert Bosch GmbH, Ibeo Automotive Systems GmbH, AVL List GmbH, Brightway Vision Ltd., ams AG, Algolux Germany GmbH, Algolux Inc., VTT Technical Research Centre of Finland Ltd., Institut für Halbleitertechnik der Universität Stuttgart, Technische Hochschule Ingolstadt CARISSMA Institute of Automated Driving, Institut für Lasertechnologien in der Medizin und Meßtechnik an der Universität Ulm, Ansys Germany GmbH, Meluta Oy, UNIKIE Oy, OQmented GmbH, FIFTY2 Technology GmbH, Basemark Oy, AstaZero AB
Project in progess

KI Wissen

Automated Driving

Development of methods for integrating knowledge into machine learning

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KI Wissen

Automotive AI powered by Knowledge

In the research project KI Wissen, methods for integrating existing knowledge into the data-driven AI functions of autonomous vehicles are being developed and investigated. 
By combining conventional data-based AI methods with the knowledge-based methods developed in the project, the basis for training and validating AI functions is completely redefined.

Expertise:
Project Management, Dissemination, Event Management
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
External Link:
Duration:
36 months | 01.01.2021 – 31.12.2023
Budget:
€25,9 million | Funding by BMWi: €17,4 million
Coordinator:
Dr. Jörg Dietrich, Continental AG
Number of Partners:
16
Partners:
Alexander Thamm GmbH, Altran Deutschland S. A. S. & Co. KG, AVL Software and Functions GmbH, BTC Embedded Systems AG, Bundesanstalt für Straßenwesen, Continental AG, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Deutsches Zentrum für Luft- und Raumfahrt e.V., Elektronische Fahrsysteme GmbH, fortiss GmbH, Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. (FOKUS & IAIS), FZI Forschungszentrum Informatik, OFFIS e.V., Robert Bosch GmbH, Universität des Saarlandes, Valeo Schalter und Sensoren GmbH
Project in progess

VVM

Automated Driving

Verification and Validation Methods for L4/5 Automated Vehicles

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VVM

Verification and Validation Methods for L4/5 Automated Vehicles

The VVM project is instrumental for the implementation of autonomous driving. Its success will have a decisive influence on the further development of this pioneering technology.

The project will develop methods to safeguard autonomous driving functions, and for the first time it will allow a quantitative assessment of the safety of these functions.

The work will use a modular approach which aims at making it possible to exchange individual components of the driving function without additional testing. On the one hand, the project therefore contributes to helping the general public better understand and accept autonomous driving and, on the other hand, it makes its implementation more easily manageable for the automotive industry.
 

Expertise:
Project management, communication and event management
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
External Link:
Duration:
48 months I July 1, 2019 – June 30, 2023
Budget:
€ 47 million | Funding by BMWi: € 26.7 million
Coordinator:
Roland Galbas, Robert Bosch GmbH, Dr. Mark Schiementz, BMW Group
Number of Partners:
22
Partners:
Robert Bosch GmbH (Konsortialführer), BMW Group (Konsortialführer), AUDI AG, AVL Deutschland GmbH, Bundesanstalt für Straßenwesen, Continental Teves AG & Co. oHG, Mercedes Benz AG, DLR, dSPACE digital signal processing and control engineering GmbH, Ford Werke GmbH, Fraunhofer IAIS, FZI, OFFIS e.V., Opel Automobile GmbH, PROSTEP AG, RWTH Aachen, TU Braunschweig, TU Darmstadt, TÜV SÜD Auto Service GmbH, Valeo Schalter und Sensoren GmbH, Volkswagen AG, ZF Friedrichshafen AG
Project in progess

KI Delta Learning

Automated Driving

Development of methods and tools for the efficient expansion and transformation of existing AI modules of autonomous vehicles to new domains

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KI Delta Learning

Scalable AI for Automated Driving

The project KI Delta Learning aims to develop methods and tools for the efficient extension and adaptation of existing AI modules for autonomous vehicles. The developed methods will allow for the transfer of prior knowledge to new domains or more complex scenarios. Only additional requirements, the so-called deltas, are then to be learned with minimal development effort.

Expertise:
Project management, communication, event management
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
External Link:
Duration:
36 months I January 1, 2020 – December 31, 2022
Budget:
€ 26.96 million | Funding by BMWi: € 16.22 million
Coordinator:
Mohsen Sefati, Mercedes-Benz AG
Number of Partners:
18
Partners:
Mercedes-Benz AG (Koordinator), BMW Group, Car Software Organisation, Robert BOSCH GmbH, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG, CMORE Automotive GmbH, Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR), FZI Forschungszentrum Informatik, OFFIS e.V., Albert-Ludwigs-Universität Freiburg, Bergische Universität Wuppertal, Hochschule Reutlingen, Technische Universität München, Universität Stuttgart, Universität Tübingen, Porsche Engineering, InnoSenT GmbH. Subcontractors: Technische Universität Carolo-Wilhelmina zu Braunschweig, Universität Ulm, EICT
Project in progess

In the joint project IMAGinE (Intelligent Maneuver Automation - cooperative hazard avoidance in realtime), twelve partners from the automotive…

The ITS World Congress 2021 from 11 to 15 October 2021 marked the end of the largest automotive project ever managed by EICT: L3Pilot…

Several project events for which EICT is responsible in the field of project management and dissemination of results are scheduled in the first half…

EICT wishes you happy holidays and all the best for 2022!