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.

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 and coordination, data management, communication and event management
Contact:: Marita Rieck, marita.rieck(at)eict.de

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 progess

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
External Link:: 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 progess

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

LiRaS

LiDAR Radar Combined System for Automated Driving

One of the biggest challenges in the development of automated vehicles is the precise perception of the vehicle’s environment, especially under poor weather conditions. Currently, commercially available sensor systems still show limitations in their perception performance. The research project LiRaS (LiDAR Radar Combination System) addresses this challenge by integrating radar and LiDAR technologies onto a single chip to ensure comprehensive and fail-safe environmental detection for vehicles.

Expertise:: Project Management, Dissemination, Event Management
Contact:: Moritz Stottele, moritz.stottele(at)eict.de
External Link:: https://liras-project.de/en/home/

Duration:: 36 months | May 1, 2024 – April 30, 2027
Budget:: 10,1 million € | Funding by the BMBF: 6,68 million €
Coordinator:: Dr. Marc-Michael Meinecke, Volkswagen AG
Number of Partners:: 6
Partners:: Volkswagen AG, Cycle GmbH, Fraunhofer FHR, Global Foundries, Konrad Technologies, Universität Paderborn - Heinz Nixdorf Institut, Xavveo GmbH

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

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