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Projects

Automated Driving

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
Automated Driving

KI Data Tooling

Automated Driving

Processes, methods and tools for the efficient and systematic generation and refinement of training, testing, validation and safeguarding data for AI systems

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KI Data Tooling

The Data Kit for Automotive AI

The KI Data Tooling project will, for the first time, provide a validated database for the successful training, testing and safeguarding of AI functions for automated driving. For this purpose, real data is collected and refined, synthetic data is generated and methods for the efficient storage and utilization of these data are developed.

Expertise:
Project Management, Dissemination, Event Management
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
External Link:
Duration:
36 months I 01 April 2020 – 31 March 2023
Budget:
€ 25.7 million | Funding by BMWi: € 16.2 million
Coordinator:
Cornelia Denk, Hans-Jörg Vögel, BMW AG
Number of Partners:
17
Partners:
ANSYS Germany GmbH, AVL Software and Functions GmbH, Bergische Universität Wuppertal, Continental Automotive GmbH, DLR, dSPACE GmbH, Forschungsinstitut für Kraftfahrwesen und Fahrzeugmotoren Stuttgart (FKFS), FZI Forschungszentrum Informatik, Robert Bosch GmbH, TH Aschaffenburg, TU Braunschweig, TU München, Universität Kassel, Universität Passau, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG
Project in progess
Automated Driving

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
Automated Driving

KI Absicherung

Automated Driving

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

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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
Automated Driving

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
Automated Driving

L3Pilot

Automated Driving

Piloting Automated Driving on European Roads

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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 completed
Automated Driving

VDA Leitinitiative

Automated Driving

Autonomous and Connected Driving

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VDA Leitinitiative

Autonomous and Connected Driving

The „Strategy for Automated and Connected Driving“ of the Federal Government has set the goal of securing Germany's pioneering role in these technologies.  The coordination centre of VDA provides a network for industry and politics and creates a program framework for long-term strategic research and a coherent and convergent technology development.

Expertise:
Coordination and moderation of partners, development of objectives and programmes, proposal support for lead projects
Contact:
Tanja Kessel, tanja.kessel(at)eict.de
Duration:
since Nov 1, 2016
Coordinator:
German Association of the Automotive Industry (VDA)
Partners:
BMW Group, Opel Automobile GmbH, AVL Deutschland GmbH, Robert Bosch GmbH, Continental AG, HELLA KGaA Hueck & Co., Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG
Project in progess
Automated Driving

Test Area Autonomous Driving

Automated Driving

Connected and Automated Driving in Everyday Traffic

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Test Area Autonomous Driving

Connected and Automated Driving in Everyday Traffic

On the Test Area of Autonomous Driving Baden-Wuerttemberg, companies and research institutes can test future-oriented technologies and services related to connected and automated driving.

Future users have the possibility to actively participate in the design and infrastructure of the test area.

Expertise:
Project Management and Coordination
Contact:
Mario Druse, mario.druse(at)eict.de
External Link:
Duration:
2016 - 2021
Budget:
€ 2.5 million | Funding by Ministry of Transport Baden-Wuerttemberg
Coordinator:
Marius Zöllner, FZI Research Center for Information Technology
Partners:
FZI Research Center for Information Technology, Fraunhofer IOSB, University of Applied Science Heilbronn, University of Applied Science Karlsruhe, KIT Karlsruher Institute for Technology, City of Bruchsal, City of Heilbronn, City of Karlsruhe, Karlsruhe Transportation Authority
Project in progess
Automated Driving

Tech Center a-drive

Automated Driving

Competence Autonomous Driving

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Tech Center a-drive

Competence Autonomous Driving

The main focus of the Tech Center a-drive is the research and development of technologies for robust perception and research on the social acceptance of highly automated and autonomous driving functions.  The Tech Center creates a network of experts from different disciplines for the comprehensive problem solution.

Expertise:
Technical Coordination, Project Management and Communications
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
External Link:
Duration:
46 months | Nov 1, 2015 – Aug 31, 2020
Budget:
€ 7.5 million
Coordinator:
Klaus Dietmayer, Universität Ulm
Number of Partners:
6
Partners:
Atlatec, Daimler AG; CTC Cartech Company, Ulm University, FZI – Research Center for Information Technology, KIT - Karlsruhe Institute of Technology
Project completed
Automated Driving

AdaptIVe

Automated Driving

Automated Driving Applications and Technologies for Intelligent Vehicles

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AdaptIVe

Automated Driving Applications and Technologies for Intelligent Vehicles

AdaptIVe aims to leverage efficient and safe automated driving. In addition to technological aspects, the research activities focus on an ideal cooperation between the driver and the assistance system as well as on legal issues which impact successful market launch.

Expertise:
Project Management, Communications, Event Management and Exploitation
Contact:
Henrike Inhülsen, henrike.inhuelsen(at)eict.de
External Link:
Duration:
42 months | Jan 1, 2014 – Jun 30, 2017
Budget:
€ 25 million | Funding by European Union: € 14.3 million
Coordinator:
Aria Etemad, Volkswagen Group Research
Number of Partners:
28
Partners:
Volkswagen AG, BMW Group, FCA-CRF, Daimler AG, Ford R&D, Opel Automobile GmbH, Groupe PSA, Groupe Renault, Volvo Car Corporation, Volvo Group, Aptiv Services Deutschland GmbH, Robert Bosch GmbH, Continental Teves AG & Co. OHG, Continental Automotive GmbH, EICT GmbH, ICCS - Institute of Communication and Computer Systems, ALCOR di Giancarlo Alessandretti, BASt - The Federal Highway Research Institute, CETAG - The Galician Automotive Technological Centre, Chalmers University of Technology, DLR - German National Research Center for Aeronautics and Space, IKA - Institute for Automotive Engineering at RWTH Aachen University, University of Leeds, Lund University, TNO - Netherlands Organisation for Applied Scientific Research, University of Trento, Julius-Maximilians University Wuerzburg, WIVW - Würzburg Institute for Traffic Sciences GmbH
Project completed
Automated Driving

DENSE

Automated Driving

aDverse wEather eNvironmental Sensing systEm

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DENSE

aDverse wEather eNvironmental Sensing systEm

DENSE seeks to develop a fully reliable environment perception technology overcoming the shortcomings of current systems to sense the environment in severe weather like snow, fog and heavy rain. DENSE will lead to the needed key improvements in sensor technology – resulting in a 24/7 all-weather sensor suite – consequently enhancing the safety of automated driving.

Expertise:
Project Management, Communications and Event Management
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
External Link:
Duration:
36 months | Jun 1, 2016 – Feb 29, 2020
Budget:
€ 14.5 million | Funding by European Union: € 4.2 million
Coordinator:
Werner Ritter, Daimler AG
Number of Partners:
15
Partners:
Daimler AG, Groupe Renault, Hitachi Europe GmbH, Ibeo Automotive Systems GmbH, Innoluce BV, Modulight Oy, Oplatek Group Oy, Vaisala Oyj, Xenics NV, EICT GmbH, Cerema – Centre for expertise and engineering on risks, urban and country planning, environment and mobility, Technical University Tampere, VTT Technical Research Centre of Finland Ltd, Universität Ulm, Veoneer France, Veoneer Sweden
Project completed
Automated Driving

euroFOT

Automated Driving

Bringing Intelligent Vehicles to the Road

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euroFOT

Bringing Intelligent Vehicles to the Road

EuroFOT is the first large-scale operational test for ADAS in Europe. The project's goal is to identify and coordinate an in-the-field testing of new Intelligent Vehicle Systems to improve the quality of European road traffic.

Expertise:
Project Management, Communications and Business Development
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
External Link:
Duration:
50 months | May 1, 2008 – Jun 30, 2012
Budget:
€ 21 million | Funding by European Union: € 13.9 million
Coordinator:
Aria Etemad, Ford Research & Advanced Engineering Europe
Number of Partners:
28
Partners:
Ford, Audi AG, BMW Group, Centro Ricerche Fiat SCPA, Daimler AG, MAN AG, Volkswagen AG, Volvo Car Corporation, Aptiv Services Deutschland GmbH, Robert Bosch GmbH, Continental AG, Harman International, ADAS Management Consulting, Alcor, EICT GmbH, Ertico-IST Europe, Allianz AG, BASt - The Federal Highway Research Institute, Chalmers, CTAG - The Galician Automotive Technological Centre, DLR - German National Research Center for Aeronautics and Space, EESAR, IKA - Institute for Automotive Engineering at RWTH Aachen University, ICCS - Institute of Communication and Computer Systems, IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l‘Aménagement et des Réseaux, IZVW – Center for Traffic Science at University of Würzburg, TNO - Netherlands Organisation for Applied Scientific Research, Polytechnico di Torino, University of Leeds
Project completed
Automated Driving

interactIVe

Automated Driving

Accident Avoidance by Active Intervention for Intelligent Vehicles

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interactIVe

Accident Avoidance by Active Intervention for Intelligent Vehicles

The vision of interactIVe is accident-free traffic realised by means of affordable integrated safety systems penetrating all vehicle classes, and thus accelerating the safety of road transport. The project develops advanced driver assistant systems (ADAS) for safer and more efficient driving. interactIVe introduces safety systems that automatically brake and steer.

Expertise:
Project Management, Communications and Event Management
Contact:
Henrike Inhülsen, henrike.inhuelsen(at)eict.de
External Link:
Duration:
36 months | Jan 1, 2010 – Nov 30, 2013
Budget:
€ 28 million | Funding by European Union: € 17 million
Coordinator:
Christoph Kessler, Aria Etemad, Ford Forschungszentrum Aachen GmbH
Number of Partners:
29
Partners:
Ford Research & Advanced Engineering Europe, BMW Research and Technology, Centro Ricerche Fiat SCPA, Daimler AG, Volkswagen AG, Volvo Technology Corporation, Volvo Car Corporation, Aptiv Services Deutschland GmbH, Autoliv, Delphi Deutschland GmbH, Continental AG, HERE, ZF Friedrichshafen AG, Allround Team, Alcor, EICT GmbH, BASt - Federal Highway Research Institute, Chalmers University of Technology, CTAG - The Galician Automotive Technological Centre, DLR - German National Research Center for Aeronautics and Space, University Grenoble-Alpes, ICCS - Institute of Communication and Computer Systems, IKA - Institut for Automotive Engineering at RWTH Aachen University, Lund University, University of Passau, Technical University Prague, TNO - Netherlands Organisation for Applied Scientific research, University of Trento, VTT Technical Research Centre of Finland Ltd
Project completed
Automated Driving

RobustSENSE

Automated Driving

Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving

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RobustSENSE

Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving

RobustSENSE develops a robust and reliable sensor platform for automated and assisted driving, working in harsh environmental conditions. By combining several independent subsystems the platform leads to an integrated and comprehensive solution of a self-correcting system. Therefore, RobustSENSE will essentially contribute to enhanced road safety with a more reliable, secure and trustable sensing system.

Expertise:
Project Management, Communications and Event Management
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
External Link:
Duration:
36 months | Jun 1, 2015 – May 31, 2018
Budget:
€ 10.5 million | Funding by European Union: € 3.3 million
Coordinator:
Werner Ritter, Daimler AG
Number of Partners:
15
Partners:
Daimler AG, Centro Ricerche Fiat SCPA, AVL List GmbH, AVL Deutschland GmbH, Robert Bosch GmbH, Ficosa - Ficomirrors S.A., Modulight Inc., Oplatek Group Oy, Sick AG, CETAG - The Galician Automotive Technological Centre, EICT GmbH, Fraunhofer FOKUS, FZI Research Center for Information Technology, Ulm University, VTT Technical Research Centre of Finland Ltd
Project completed
Automated Driving

UP-Drive

Automated Driving

Automated Urban Parking and Driving

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UP-Drive

Automated Urban Parking and Driving

The goal and ambition of UP-Drive is to develop an automated valet parking service for city environments, aimed at relieving a car driver from the burden of finding a parking space in city centers. Instead, the fully automated car navigates on its own through urban neighborhoods, finds a parking space and returns on-demand.

Expertise:
Technical Management
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Duration:
48 Month | Jan 1, 2016 – Dec 31, 2019
Budget:
€ 4.7 Million
Coordinator:
Wojciech Derendarz, Volkswagen Group Research
Number of Partners:
5
Partners:
Volkswagen AG, Eidgenössische Technische Hochschule Zurich – Autonomous Systems Lab, IBM Research GmbH, Universitatea Tehnică din Cluj-Napoca, České vysoké učení technické v Praze
Project completed
Connected Mobility

IMAGinE

Connected Mobility

Intelligent Maneuver Automation – Cooperative Hazard Avoidance

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IMAGinE

Intelligent Maneuver Automation – Cooperative Hazard Avoidance

IMAGinE aims to develop new and innovative assistance systems which will support cooperative driving of the future.  Cooperative driving means that vehicles as well as traffic infrastructure are capable of interacting intelligently with each other via automated information sharing. Traffic maneuvers can thus be executed more easily.

Expertise:
Project Management, Technical Coordination, Communications and Event Management
Contact:
Mario Druse, mario.druse(at)eict.de
External Link:
Duration:
69 months| Sep 1, 2016 – May 31, 2022
Budget:
€ 38.2 million | Funding by BMWi: € 17.9 million
Coordinator:
Steffen Knapp, Opel Automobile GmbH
Number of Partners:
12
Partners:
Opel Automobile GmbH, BMW Group, Daimler AG, MAN Truck & Bus AG, Volkswagen AG, Robert Bosch GmbH, Continental Teves AG & Co. OHG, IPG Automotive GmbH, Nordsys GmbH, WIVW - Würzburg Institute for Traffic Sciences GmbH, Technical University Munich, Hessen Mobil - Road and Traffic Management
Project in progess
Connected Mobility

Tech Center i-protect

Connected Mobility

Competence Vehicle Security

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Tech Center i-protect

Competence Vehicle Security

The focus of Tech Center i-protect is the close cooperation between industry and science on vehicle safety issues and future mobility. The cooperation of the industrial partners with leading science partners in the field of passive safety results in innovative bilateral and multilateral projects and continues to create research trends in this field.

Expertise:
Technical Project Management and Project Development, Communications and Conception
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
Duration:
36 months | Jun 1, 2016 – Dec 31, 2020 (Phase 1) | 56 months | May 1, 2021 – Dec 31, 2025 (Phase 2)
Coordinator:
Prof. Rodolfo Schöneburg, Daimler AG
Number of Partners:
8
Partners:
Daimler AG, Robert Bosch GmbH, Fraunhofer EMI, Fraunhofer IWM, Hospital Stuttgart, Technical University Dresden, Technical University Graz, Cluster of Excellence - University of Stuttgart
Project in progess
Connected Mobility

Coherent

Connected Mobility

Coordinated Control and Spectrum Management for 5G Heterogeneous Radio Access Networks

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Coherent

Coordinated Control and Spectrum Management for 5G Heterogeneous Radio Access Networks

The COHERENT project aims to address the problem of exponential growth of mobile traffic and increasing network complexity by researching, developing and validating a novel control framework for future mobile networks. The key innovation of COHERENT is to develop a unified programmable control framework to coordinate the underlying heterogeneous mobile networks as a whole.

Expertise:
Communications, System Architecture Design and API defintion
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
External Link:
Duration:
32 months | Jul 1, 2015 – Dec 31, 2017
Budget:
€ 6 million | Funding by European Union
Coordinator:
Tao Chen, VTT Technical Research Centre of Finland Ltd
Number of Partners:
15
Partners:
VTT Technical Research Centre of Finland Ltd, Aalto University, 4G Cellex, CommAgility, Create-Net, EURECOM, EICT GmbH, Fairspectrum, Hellenic Telecommunications Organization S.A., INEA, Poznan University of Technology, SICS Swedish ICT AB, Thales Communications & Security, Travelping, University of Duisburg-Essen
Project completed
Connected Mobility

DRIVE C2X

Connected Mobility

Accelerate Cooperative Mobility

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DRIVE C2X

Accelerate Cooperative Mobility

DRIVE C2X establishes a reference for cooperative driving in Europe by bringing together seven national test sites and creating a harmonized testing environment for C2X technologies. The results of this large-scale testing environment are used to raise awareness among the general public; it provides feedback for standard organisations and for initiating public-private ventures.

Expertise:
Project Management, Communications and Exploitation
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Duration:
43 months | Jan 1, 2011 – Jul 31, 2014
Budget:
€ 18.5 million | Funding by European Union: € 12.4 million
Coordinator:
Matthias Schulze, Daimler AG
Number of Partners:
33 und 13 associated partners
Partners:
Daimler AG, Audi AG, BMW Group, FCA-CRF, Ford, Honda R&D Europe, Opel Automobile GmbH, Groupe PSA, Groupe Renault, Volvo Car Corporation, Yamaha Motor, Aptiv Services Deutschland GmbH, Robert Bosch GmbH, Continental AG, Denso Automotive Deutschland, Hitachi Europe SAS, Neavia Technologies, NEC Europe, Renesas Eletronics Europe, BaSt - Bundesanstalt für Straßenwesen, CTAG - Centro Tecnológico de Automoción de Galicia, Chalmers University, DLR - Deutsches Zentrum für Luft- und Raumfahrt, Facit Research, Fraunhofer FOKUS, Hochschule für Technik und Wirtschaft Saarland, IFSTTAR - Institut Français des Sciences et Technologies des Transports, de l‘Aménagement et des Réseaux, INRIA - Institut Nationale de Recherche en Informatique et en Automatique, Interuniversity Microelectronics Centre, KIT - Karlsruhe Institute of Technology, Lindholmen Science Park, Technische Universität Graz, TNO - Netherlands Organisation for Applied Scientific Research, Technical University Cluj-Napoca, University of Surrey, VTT - Technical Research Centre of Finland Ltd, Testing Technologies, Vector Informatik, YGOMI; PTV Group, Autostrada del Brennero, Hessen Mobil - Straßen- und Verkehrsmanagement, Rijkswaterstaat, City of Tampere, Trafikverket; EICT GmbH, ERTICO - ITS Europe, ETSI Centre for Testing and Interoperability, Nokian Renkaat
Project completed
Connected Mobility

simTD

Connected Mobility

Safe and Intelligent Mobility - Test Field Germany

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simTD

Safe and Intelligent Mobility - Test Field Germany

The simTD-project investigates the possible contribution of intelligent communication systems to improving traffic safety and mobility. It isby means of one of the world’s largest field operational tests in Germany.

Expertise:
Project Management and Communications
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
Duration:
58 months | Sep 1, 2008 – Jun 30, 2013
Budget:
€ 69 million | Funding by BMWi: € 19.8 million, Funding by BMBF: € 10.8 million
Coordinator:
Christian Weiß, Daimler AG
Number of Partners:
17
Partners:
Daimler AG, Audi AG, BMW Group, Ford, Opel Automobile GmbH, Volkswagen AG, Robert Bosch AG, Continental AG; Telekom AG; EICT GmbH, DFKI – German Research Center for Artificial Intelligence, Fraunhofer, IZVW – Center for Traffic Science at University of Würzburg, Saarland University of Applied Sciences, Technical University of Berlin, Technical University of Munich, Hessen Road Management, City of Frankfurt am Main
Project completed
Connected Mobility

TEAM

Connected Mobility

Tomorrow’s Elastic Adaptive Mobility

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TEAM

Tomorrow’s Elastic Adaptive Mobility

TEAM advances vehicle-2-x communication technologies by LTE integration and with an automotive cloud to support decentralised traffic applications.  Taking these technologies into consideration, the project develops proactive algorithms to enable behavioural change to improve transportation networks.

Expertise:
Project Management, Communications, Event Management and Exploitation
Contact:
Henrike Inhülsen, henrike.inhuelsen(at)eict.de
External Link:
Duration:
48 months| Nov 1, 2012 – Oct 31, 2016
Budget:
€ 17.1 million | Funding by European Union: € 11.1 million
Coordinator:
Ilja Radusch, Fraunhofer FOKUS
Number of Partners:
29
Partners:
BMW Goup, Centro Ricerche Fiat SCPA, Jaguar Land Rover, Volvo Car Corporation, e-Trikala, Info Trip, Ramboll, Swarco Mizar SpA, Swarco Traffic Systems GmbH, 5T - Turin Traffic and Transport Telematics Technologies, EICT GmbH; Fraunhofer FOKUS, AIT – Ausstrian Institute of Technology, Create-Net, Daimler Center for Automotive Information Technology, Fraunhofer IAO, University of Genoa, ICCS - Institute of Communication and Computer Systems, Maynooth University, Technical University Berlin, VTT Technical Research Centre of Finland Ltd
Project completed
Connected Mobility

UNIFY

Connected Mobility

Unifying Cloud and Carrier Networks

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UNIFY

Unifying Cloud and Carrier Networks

UNIFY pursues an open innovation environment for telecommunication services leveraging on both networking and cloud resources. The project creates a platform for users and service providers to develop, build, deploy and operate their own rich and interconnected services.

Expertise:
Project Management and Communications
Contact:
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
Duration:
30 months | Nov 1, 2013 – Apr 30, 2016
Budget:
€ 9.4 million | Funding by European Union: € 6.5 million
Coordinator:
András Császár, Ericsson Hungary
Number of Partners:
15
Partners:
Ericsson Hungary, RISE Acreo, BISDN - Berlin Institute for Software Defined Networks, Deutsche Telekom AG, Ericsson AB, EHU - University of the Basque Country, EICT GmbH, iMinds, Intel, Hellenic Telecommunications Organization, Politecnico di Torino, RISE SICS, Telecom Italia, Travelping, Technical University Berlin
Deliverables:
D2.1 Use Cases and Initial Architecture (Public)UNIFY-D2.1-Use cases and initial architecture.pdf7 MB
D2.2 Final Architecture (Public)UNIFY-D2.2-Final Architecture.pdf3 MB
D3.1 Programmability Framework (Public)UNIFY-D3.1-Programmability framework.pdf7 MB
D3.2 Detailed Functional Specification and Algorithm Description (Public)UNIFY-D3.2-Detailed functional specification and algorithm description.pdf13 MB
D3.2a Network Function Forwarding Graph Specification (Public)UNIFY-D3.2a-Network Function Forwarding Graph specification.pdf3 MB
D3.3 Revised Framework with Functions and Semantics (Public)UNIFY-D3.3-Revised framework with functions and semantics.pdf2 MB
D3.4 Prototype Deliverable (Public)UNIFY-D3.4 Prototype deliverable.pdf3 MB
D3.5 Programmability Framework Prototype (Public)UNIFY-D3.5-Programmability framework prototype.pdf3 MB
D4.1 Initial Requirements for the SP-DevOps Concept, Universal Node Capabilities and Proposed Tool (Public)UNIFY-D4.1-Initial requirements for the SP-DevOps concept, universal node capabilities and proposed tools.pdf2 MB
D4.2 Proposal for SP-DevOps Network Capabilities and Tools (Public)UNIFY-D4.2 Proposal for SP-DevOps network capabilities and tools.pdf5 MB
D4.3 Updated Concept and Evaluation Results for SP-DevOps (Public)UNIFY-D4.3-Updated concept and evaluation results for SP-DevOps.pdf6 MB
D4.4 Public DevOpsPro Code Base (Public)UNIFY-D4.4-Public DevOpsPro code base.pdf1,014 KB
D5.1 Universal Node Functional Specification (Public)UNIFY-D5.1-Universal node functional specification.pdf574 KB
D5.2 Universal Node Interfaces and Software Architecture (Public)UNIFY-D5.2-Universal node interfaces and software architecture.pdf2 MB
D5.3 Prototype Description and Implementation Plan (Public)UNIFY-D5.3-Prototype description and implementation plan.pdf873 KB
D5.4 Initial Benchmarking Documentation (Public)UNIFY-D5.4-Initial Benchmarking Documentation.pdf1 MB
D5.5 Universal Node Prototype (Public)UNIFY-D5.5-Universal Node Prototype.pdf641 KB
D6.1 Project Website and Communication Kit (Public)UNIFY-D6.1-Project website and communication kit.pdf916 KB
M4.1 DevOps Concept Evolution and Initial Plans for Prototyping (Public)UNIFY-M4.1-DevOps concept evolution and initial plans for prototyping.pdf2 MB
Project completed
Connected Mobility

Future Study

Connected Mobility

Münchner Kreis

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Future Study

Münchner Kreis

The overall objective of the Future Study is to take a closer look at the techno-economic and societal changes due to digitization. The study covers expert and user panels and works interdisciplinary as well as cross-sectional. The results address decision-makers in politics and business alike.

You can find the Future Studies in the download section of the EICT website.

Expertise:
Research Design, Method Consulting, Editing of Mobility Topics and Conference Layouts, Event Management
Contact:
Tanja Kessel, tanja.kessel(at)eict.de
External Link:
Duration:
since 2009
Coordinator:
Münchner Kreis
Project in progess
Connected Mobility

AI2Ynet

Connected Mobility

A cross-ecosystem innovation transfer platform for small and medium-sized enterprises.

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AI2Ynet

AI Apply-It-Yourself-Network

The aim of AI2Ynet is the construction and operation of a platform which enables small and medium-sized enterprises (SMEs) to apply artificial intelligence methods. In the first phase until August 2019, the concept for the setup and operation of the platform will be developed with the input of various associations and stakeholder groups.

Through cross-sector networking and linking of actors and technologies, SMEs will be supported in finding and applying suitable AI technologies. The platform should enable SMEs to handle AI components, such as data and methods of machine learning, and to develop further business scenarios and exploitation opportunities.

Expertise:
Project Management, Multi Stakeholder Management, Application Coordination
Contact:
Dr. Niko Papamichail, niko.papamichail(at)eict.de
External Link:
Duration:
5 months | Apr 15, 2019 – Sept 13, 2019
Budget:
960.000 € | Funding by the Federal Ministry for Economic Affairs and Energy
Coordinator:
FZI Forschungszentrum Informatik
Number of Partners:
2 core partners + 9 associated network partners
Partners:
FZI Forschungszentrum Informatik, GI Gesellschaft für Informatik, Berlin Partner für Wirtschaft und Technologie GmbH, BITMi Bundesverband IT-Mittelstand e.V., BVDW Bundesverband Digitale Wirtschaft e.V., CyberForum e. V., DIN Deutsches Institut für Normung e. V., eco - Verband der Internetwirtschaft e.V., fokus.energie fokus.energie e.V., Fraunhofer IUK, Fraunhofer-Verbund IUK-Technologie
Project completed
eMobility

Mobility2Grid

eMobility

Connect Energy and Traffic Transition

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Mobility2Grid

Connect Energy and Traffic Transition

Industry and science are collaborating in research on key issues of the energy transition and future mobility solutions. Mobility2Grid is located on the EUREF campus in Berlin as a city district and test area of the future.

Expertise:
Process Design and Evaluation of Participative Innovation and Stakeholder-Forum
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
External Link:
Duration:
Jan 1, 2016 – Dec 31, 2020
Budget:
€ 30 million | Funding by BMBF
Coordinator:
Technical University Berlin
Number of Partners:
37
Partners:
among others: Technical University Berlin, BMW Group, Deutsche Bahn AG, EICT GmbH, Fraunhofer ISE, FZI Research Center for Information Technology
Project completed
eMobility

eCo-FEV

eMobility

Efficient Cooperative infrastructure for Fully Electric Vehicles

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eCo-FEV

Efficient Cooperative infrastructure for Fully Electric Vehicles

The eCo-FEV project proposes a general architecture for the integration of Fully Electric Vehicles (FEVs) into cooperative infrastructure systems and new solutions for charging.

Expertise:
Project Management, Communications and Exploitation
Contact:
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Duration:
30 months | Sep 1, 2012 – May 31, 2015
Budget:
€ 4.3 million | Funding by European Union: € 2.96 million
Coordinator:
Massimiliano Lenardi, Hitachi Europe Limited
Number of Partners:
13
Partners:
Hitachi Europe Limited, Bluethink SPA, CEA - Commissariat à l'énergie atomique et aux Énergies Alternatives, FCA-CRF, EICT GmbH, Energrid S.p.A., Facit Research GmbH & Co. KG, ISERE - Conseil Général de l’Isère, Politecnico di Torino, Groupe Renault, Schulz-Institute for Economic Research and Consulting GmbH, Technical University of Berlin, TECNOSITAF - Società Italiana per il Traforo Autostradale del Frejus S.p.A.
Deliverables:
D101.5 Interim Workshops Report (Non-public, Abstract)eCo-FEV-D101.5-Interim workshops report_1st clustering WS_Summary.pdf245 KB
D102.5 Final Report (Public)eCo-FEV-D102.5-Final Report.pdf936 KB
D200.1 Use Cases and Requirements (Public)eCo-FEV-D200.1-Use cases and requirements.pdf1 MB
D200.2 Overall Architecture and Functional Design for E-mobility Cooperative Infrastructures (Public)eCo-FEV-D200.2-Overall architecture and functional design for e-mobility cooperative infrastructures.pdf2 MB
D200.3 System and Component Specifications (Non-public, Abstract)eCo-FEV-D200.3-System and component specifications_Summary.pdf232 KB
D300.5 System Design, Integration and Technical Validation (Non-public, Abstract)eCo-FEV-D300.5-System design-integration-technical validation_Summary.pdf246 KB
D400.1 Evaluation Methodology, Test and Evaluation Plan (Public)eCo-FEV-D400.1-Evaluation methodology, test and evaluation plan.pdf1 MB
D400.2 Evaluation Database Description (Non-public, Abstract)eCo-FEV-D400.2-Evaluation Database Description_Summary.pdf245 KB
D400.3 Technical Evaluation Report (Public)eCo-FEV-D400.3-Technical Evaluation Report.pdf2 MB
D400.4 Impact Assessment (Public)eCo-FEV-D400.4-Impact Assessment.pdf5 MB
D501.1 Dissemination Plan (Public)eCo-FEV-D501.1-Dissemination Plan.pdf1 MB
D502.3 Potential Business Model (Public)eCo-FEV-D502.3-Potential Business Model Public Version.pdf4 MB
D502.4 Exploitation Plan (Non-public, Abstract)eCo-FEV-D502.4-Exploitation Plan-v2.0_Summary.pdf656 KB
D502.5 Final Event Report (Public)eCo-FEV-D502.5-Final Event Report.pdf2 MB
D502.6 Mobility2.0 Mobincity Clustering Activities (Public)eCo-FEV-D502.6-Mobility2.0 Mobincity.pdf2 MB
Project completed