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.

nxtAIM

Automated Driving

Generative methods for perception, prediction and planning
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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:
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

Automated Driving

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

Automated Driving

LiDAR Radar Combined System for Automated Driving
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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:
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

Automated Driving

Addressing challenges towards the deployment of higher automation

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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:
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

DOCT

Connected Mobility

The development environment for the connectivity system of tomorrow
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DOCT

Digital OTA Connectivity Twin

The DOCT research project aims to significantly increase the safety of in-vehicle connectivity systems by creating a high-performance development environment. A fast and nearly complete qualification of secure and robust radio systems for automated driving and OTA data applications will thus become possible.
Expertise:
project management, technical coordination, communication and event management
Contact:
Moritz Stottele, moritz.stottele(at)eict.de
External Link:
Duration:
36 Months | July 1st 2022 – June 30th 2025
Budget:
10.3 million € | Funding by the BMWK: 6.5 million €
Coordinator:
Kai Castro, Mercedes-Benz AG
Number of Partners:
8
Partners:
Mercedes-Benz AG, Altair Engineering GmbH, Continental Advanced Antenna GmbH, Fraunhofer IIS, IMST GmbH, Innovationszentrum für Telekommunikati-onstechnik GmbH IZT, Keysight Technologies Deutschland GmbH, Rohde & Schwarz GmbH & Co. KG
Project in progess
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