Please select a page template in page properties.

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.
 

more about us

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.

L3Pilot

Automated Driving

Piloting Automated Driving on European Roads

more

L3Pilot

Piloting Automated Driving on European Roads

L3 Pilot is the first pilot test for automated driving on the roads of Europe with the participation of all European automotive manufacturers together with partners from science and research.  100 vehicles, equipped with highly developed technology for environmental detection, will test automated systems based on SAE Levels 3 and 4 under real conditions and in a broad application in public traffic from 10 EU countries.

Expertise:
Project Management, Communications, Event Management, Exploitation and Studies
Contact:
Henrike Inhülsen, henrike.inhuelsen(at)eict.de
External Link:
Duration:
48 months | Sep 1, 2017 – Aug 31, 2021
Budget:
€ 68 million| Funding by European Union: € 36 million
Coordinator:
Aria Etemad, Volkswagen Group Research
Number of Partners:
34
Partners:
Volkswagen AG, Centro Ricerche Fiat SCPA, Daimler AG, Ford, Groupe PSA, Groupe Renault, Honda R&D Europe, Jaguar Land Rover, Opel Automobile GmbH, Toyota Motor Europe, Volvo Car Corporation, Aptiv Services Deutschland GmbH, Autoliv, FEV GmbH, ADAS Management Consulting, European Center for Information and Communication Technologies EICT GmbH, BASt - The Federal Highway Research Institute, DLR - German Aerospace Center, University of Genoa, IKA- Institut for Automotive Engineering at RWTH Aachen University, ICCS - Institute of Communication and Computer Systems, SAFER at Chalmers, SNF - Centre for Applied Research at NHH, TNO - Netherlands Organisation for Applied Scientific Research; University of Leeds, VTT Technical Research Centre of Finland Ltd, WMG, University of Warwick, WIVW - Würzburg Institute for Traffic Sciences, RDW - The Netherlands Vehicle Authority, FIA - Fédération Internationale de l’Automobile, AZT Automotive GmbH, Swiss Reinsurance Company
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

more

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

VVM

Automated Driving

Verification and Validation Methods for L4/5 Automated Vehicles

more

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 Absicherung

Automated Driving

Methods and Measures to Safeguard AI-based Perception Functions for Automated Driving

more

KI Absicherung

Safe AI for Automated Driving

In the KI Absicherung project, methods and measures are being developed to validate the safety of AI-based pedestrian detection functions. For this purpose, an exemplary argumentation is being developed to generally safeguard AI-based functions for automated driving. The results of the project should support the development of an industry consensus for an AI test strategy.

Expertise:
Project management, communication, event management
Contact:
Dr. Niko Papamichail, niko.papamichail(at)eict.de
External Link:
Duration:
36 months I July 1, 2019 – June 30, 2022
Budget:
€ 41 million | Funding by BMWi: € 19.2 million
Coordinator:
Dr. Stephan Scholz, Volkswagen AG
Number of Partners:
24
Partners:
Volkswagen AG (Koordinator), AUDI AG, Bergische Universität Wuppertal, BMW AG, Continental Automotive GmbH, DFKI, DLR, Fraunhofer IAIS, Fraunhofer IKS, FZI Forschungszentrum Informatik, EFS, ASTech, Luxoft, Umlaut, Intel Deutschland GmbH, Mackevision Medien Design GmbH, Merantix AG, Opel Automobile GmbH, QualityMinds GmbH, Robert Bosch GmbH, TU München, Universität Heidelberg, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG
Project in progess

AI applications are already used in vehicles today. But how can we ensure that AI can be used for autonomous driving - with all the different…

After more than four years the L3Pilot project concludes with a Final Event on Wednesday, October 13 and Thursday, October 14, 2021 in conjunction…

EICT GmbH is strongly represented with four projects at the ITS World Congress running from 11-15th October 2021. The ITS World Congress is the…

[Translate to English:]

How important are AI and methods of AI training to let automated vehicles drive in the "real world"?