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.

jbDATA

Efficient and highly accurate data generation for AI applications in the field of autonomous driving

Efficient and precise data are essential for AI applications in autonomous driving. Innovative technologies help to obtain high-quality data sets from large volumes of data. just better DATA is developing a Smart Data Loop that efficiently collects, filters and pre-sorts data in the vehicle so that only relevant information is stored. Incomplete data sets are supplemented with synthetic data in order to optimally train and improve AI models. Another focus is automated anonymization to ensure data privacy and fairness.

Expertise:: Project Management, Technical Coordination, Dissemination, Event Management, Data Management
Contact:: Tobias Zajusch, tobias.zajusch(at)eict.de
External Link:: https://www.justbetterdata.de/

Duration:: 36 months | July 1, 2023 – June 30, 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 progess

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:: Projektmanagement, Kommunikation, Eventmanagement, Marktverwertung und Nutzerstudien
Contact:: Philippe Stehlik, philippe.stehlik(at)eict.de
External Link:: https://www.hi-drive.eu/https://www.linkedin.com/groups/9105529/

Duration:: 48 Monate | 1. Juli 2021 - 30. Juni 2025
Budget:: 60 Millionen € | Förderung durch die Europäische Union: 30 Millionen €
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

Project in progess

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:: https://www.ai-see.eu/https://twitter.com/AI_SEE_project https://www.linkedin.com/in/ai-see-project-979ba9215

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

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:: https://kiwissen.de https://twitter.com/KI_Familie

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 completed

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