Automated Driving
Automated Driving
CONTROL
Controlling Risk of Highly Automated Transportation Systems Operating in Complex Open Environments
CONTROL
Controlling Risk of Highly Automated Transportation Systems Operating in Complex Open Environments
CONTROL develops new methods to detect and safely handle uncertainties in automated driving in real time, even in complex and dynamic traffic situations. Instead of predefining all possible scenarios, safety is achieved directly within the vehicle through the continuous assessment of its own perception.
The focus lies on approaches along the entire perception chain, from sensors and data fusion to decision-making logic. The system adapts its behavior flexibly to the situation, enabling robust decision-making. A key feature is the cross-domain approach: CONTROL connects road and rail and jointly develops metrics and tools across domains. Differences arise only in the application. The domains learn from each other and develop robust systems.
Expertise
Project management, Coordination, Communication, Event Management
Contact
Jacqueline Welsch, jacqueline.welsch(at)eict.de
Homepage →
https://control-projekt.de/
Duration: 36 months | October 2025 – September 2028
Budget: 29 million € | Funding by BMWK: 15,6 million €
Coordinator: Dr. Cornel Klein, Siemens AG | Dr. Sanwardhini Pantawane, Valeo Schalter und Sensoren
Number of Partners: 24
Partners:
Siemens, Siemens Mobility, Mercedes AMG, Daimler Truck, Mercedes Benz, Valeo, Aumovio, ASCS, AVL D, dSPACE, Infineon, Persival, Spleenlab, TWT, VALIDAS, ZF, DLR, Fraunhofer, KIT, Technische Universität Braunschweig, Technische Universität Darmstadt, Technische Universität Ilmenau, Technische Universität München, Universität Ulm
Project in progress
Automated Driving
Safe AI Engineering
Safety argumentation for AI functions over the entire life cycle
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, Coordination, Data Management, Communication, Event Management
Contact
Marita Rieck, marita.rieck(at)eict.de
Homepage →
https://safe-ai-engineering.de/en/home/
Duration: 36 months | March 2025 – February 2028
Budget: 34,5 million € | Funding by BMWK: 17,2 million €
Coordinator: Dr. Torsten Stiehm, 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 progress
Automated Driving
nxtAIM
Generative methods for perception, prediction and planning
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
Homepage →
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 progress
Automated Driving
jbDATA
Efficient and highly accurate data generation for AI applications in the field of autonomous driving
jbDATA
Efficient and highly accurate data generation for AI applications in the field of autonomous driving
Expertise
Project Management, Technical Coordination, Dissemination, Event Management, Data Management
Contact
Tobias Zajusch, tobias.zajusch(at)eict.de
Homepage →
https://www.justbetterdata.de/en/home/
Duration: 36 months | July 2023 – June 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 progress
Automated Driving
LiRaS
LiDAR Radar Combined System for Automated Driving
LiRaS
LiDAR Radar Combined System for Automated Driving
Expertise
Project Management, Dissemination, Event Management
Contact
Moritz Stottele, moritz.stottele(at)eict.de
Homepage →
https://liras-project.de/en/home/
Duration: 36 months | May 2024 – April 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 progress
Automated Driving
Hi-Drive
Addressing challenges towards the deployment of higher automation
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
Project Management, Dissemination, Event Management, Exploitation, User Studies
Contact
Philippe Stehlik, philippe.stehlik(at)eict.de
Homepage →
https://www.hi-drive.eu/
Duration: 54 Months | July 2021 – November 2025
Budget: 60 million € | Funding by European Union: 30 million €
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 completed
Automated Driving
AI-SEE
Artificial Intelligence enhancing vehicle vision in low visibility conditions
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
Homepage →
https://www.ai-see.eu/
Duration: 36 months | June 1, 2021 – December 31, 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 completed
Automated Driving
KI Wissen
Development of methods for integrating knowledge into machine learning
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
Homepage →
https://kiwissen.de
Duration: 36 months | January 1, 2021 – December 31, 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
Automated Driving
KI Data Tooling
Processes, methods and tools for the efficient and systematic generation and refinement of training, testing, validation and safeguarding data for AI systems
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
Homepage →
https://www.ki-datatooling.de/
Duration: 45 months I April 1, 2020 – December 31, 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 completed
Automated Driving
KI Delta Learning
Development of methods and tools for the efficient expansion and transformation of existing AI modules of autonomous vehicles to new domains
KI Delta Learning
Scalable AI for Automotive AI
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, Dissemination, Event Management
Contact
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
Homepage →
https://www.ki-deltalearning.de/en/
Duration: 39 months I January 1, 2020 – March 31, 2023
Budget: 26.96 million € | Funding by BMWi: 16.22 million €
Coordinator: Mohsen Sefati, Mercedes-Benz AG
Number of Partners: 18
Partners:
Mercedes-Benz AG (Coordinator), 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. Unterauftragnehmer: Technische Universität Carolo-Wilhelmina zu Braunschweig, Universität Ulm, EICT
Project completed
Automated Driving
KI Absicherung
Methods and Measures to Safeguard AI-based Perception Functions for Automated Driving
KI Delta Learning
Safe AI for Automotive AI
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, Dissemination, Event Management
Contact
Dr. Niko Papamichail, niko.papamichail(at)eict.de
Homepage →
https://www.ki-absicherung-projekt.de/en/
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 (Coordinator), 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 completed
Automated Driving
VVM
Verification and Validation Methods for L4/5 Automated Vehicles
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, Dissemination, Event Management
Contact
Dr. Thorsten Mahler, thorsten.mahler(at)eict.de
Homepage →
https://www.vvm-projekt.de/en/
Duration: 54 months I July 1, 2019 – December 31, 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 (Consortium lead), BMW Group (Consortium lead), 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 completed
Automated Driving
L3Pilot
Piloting Automated Driving on European Roads
L3Pilot
Piloting Automated Driving on European Roads
L3Pilot 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 User Studies
Contact
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Homepage →
http://www.l3pilot.eu
Duration: 48 months | September 1, 2017 – August 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, BASt – Bundesanstalt für Straßenwesen, 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, TNO – Netherlands Organisation for Applied Scientific Research, 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, ADAS Management Consulting, EICT GmbH
Project completed
Automated Driving
VDA Leitinitiative
Autonomous and Connected Driving
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
Kontakt
Tanja Kessel, tanja.kessel(at)eict.de
Homepage →
https://www.vda.de/en
Duration: since November 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 progress
Automated Driving
Test Area Autonomous Driving
Connected and Automated Driving in Everyday Traffic
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.
Kompetenzen
Project Management and Coordination
Kontakt
Mario Druse, mario.druse(at)eict.de
Homepage →
https://taf-bw.de/en/
Duration: 2016 – 2021 (Build-up phase)
Budget: € 2.5 million | Funding by Ministry of Transport Baden-Wuerttemberg
Coordinator: Prof. Dr. J. 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 completed
Automated Driving
Tech Center a-drive
Competence Autonomous Driving
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
Homepage →
http://www.tcadrive.de
Dauer: 46 Monate | Nov 1, 2015 – Aug 31, 2020
Budget: 7,5 Millionen €
Koordinator: Klaus Dietmayer, Universität Ulm
Anzahl der Partner: 6
Partner: Atlatec, Daimler AG, CTC Cartech Company, Universität Ulm, FZI Forschungszentrum Informatik, KIT – Karlsruhe Institute of Technology
Project completed
Automated Driving
AdaptIVe
Automated Driving Applications and Technologies for Intelligent Vehicles
Tech Center a-drive
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
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Homepage →
http://www.adaptive-ip.eu @_AdaptIVe_
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
aDverse wEather eNvironmental Sensing systEm
Tech Center a-drive
Automated Driving Applications and Technologies for Intelligent Vehicles
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
Homepage →
http://www.dense247.eu @DENSE_Project
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
Bringing Intelligent Vehicles to the Road
euroFOT
Bringing Intelligent Vehicles to the Road
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 Business Development
Contact
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Homepage →
http://www.eurofot-ip.eu/
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
Accident Avoidance by Active Intervention for Intelligent Vehicles
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
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Homepage →
http://www.interactive-ip.eu/
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
Robust and Reliable Environment Sensing and Situation Prediction for Advanced Driver Assistance Systems and Automated Driving
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
Homepage →
http://www.robustsense.eu @RobustSENSE LinkedIn
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 Urban Parking and Driving
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
DOCT
The development environment for the connectivity system of tomorrow
DOCT
Digital OTA Connectivity Twin
Expertise
Project Management, Technical Coordination, Communication and Event Management
Kontakt
Moritz Stottele, moritz.stottele(at)eict.de
Homepage →
https://www.doct-projekt.de/en/
Duration: 36 Months | July 1, 2022 – June 30, 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 completed
IMAGinE
Intelligent Maneuver Automation – Cooperative Hazard Avoidance
IMAGinE
Intelligent Maneuver Automation – Cooperative Hazard Avoidance
Expertise
Project Management, Technical Coordination, Communications and Event Management
Contact
Mario Druse, mario.druse(at)eict.de
Homepage →
https://www.imagine-online.de/en/home.html
Duration: 69 months | September 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 – Würzburger Institut für Verkehrswissenschaften GmbH, Technische Universität München, Hessen Mobil – Straßen- und Verkehrsmanagement
Project completed
Tech Center i-protect
Competence Vehicle Security
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 | June 1, 2016 – December 31, 2020 (Phase 1) | 56 months | May 1, 2021 – December 31, 2025 (Phase 2)
Coordinator: Paul Dick, Mercedes-Benz AG
Number of Partners: 8
Partners:
Daimler AG, Robert Bosch GmbH, Fraunhofer EMI, Fraunhofer IWM, Klinikum Stuttgart, Technische Universität Dresden, Technische Universität Graz, Exzellenzcluster SimTech – Universität Stuttgart
Project in progress
Coherent
Coordinated Control and Spectrum Management for 5G Heterogeneous Radio Access Networks
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
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
DRIVE C2X
Accelerate Cooperative Mobility
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
simTD
Safe and Intelligent Mobility – Test Field Germany
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
Team
Tomorrow’s Elastic Adaptive Mobility
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
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Homepage →
http://www.collaborative-team.eu
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
UNIFY
Unifying Cloud and Carrier Networks
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
Project completed
Future Study
Münchner Kreis
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.
Expertise
Research Design, Method Consulting, Editing of Mobility Topics and Conference Layouts, Event Management
Contact
Tanja Kessel, tanja.kessel(at)eict.de
Homepage →
http://www.muenchner-kreis.de
Duration: since 2009
Coordinator: Münchner Kreis
Project completed
AI2Ynet
A cross-ecosystem innovation transfer platform for small and medium-sized enterprises.
AI2Ynet
A cross-ecosystem innovation transfer platform for small and medium-sized enterprises.
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
Homepage →
https://ai2y.net/
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
Connect Energy and Traffic Transition
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.
Kompetenzen
Process Design and Evaluation of Participative Innovation and Stakeholder-Forum
Kontakt
Dr. Hristiyan Stoyanov, hristiyan.stoyanov(at)eict.de
Homepage →
http://www.mobility2grid.de
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
Projekt abgeschlossen
eCo-FEV
Efficient Cooperative infrastructure for Fully Electric Vehicles
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.
Kompetenzen
Project Management, Communications and Exploitation
Kontakt
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.