Automated Driving
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. Ulrich Wurstbauer, Luxoft GmbH | Dr. Frank Köster, DLR
Number of Partners: 24
Partners:
DXC Luxoft GmbH, Deutsches Zentrum für Luft- und Raumfahrt e.V., Akkodis Germany GmbH, AVL Deutschland GmbH, Bundesanstalt für Straßen- und Verkehrswesen, Bertrandt Ing.-Büro GmbH, Robert Bosch GmbH, Capgemini Engineering Deutschland S.A.S. & Co KG, Cariad SE, Continental Automotive Technologies GmbH, Fraunhofer-Gesellschaft e.V., FZI Forschungszentrum Informatik, Intel Deutschland GmbH, Karlsruhe Institute of Technology (KIT), Mercedes-Benz AG, Opel Automobile GmbH, Porsche AG, Spleenlab GmbH, Technische Universität Berlin, Technische Universität Braunschweig, TÜV AI.Lab GmbH, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG
Project in 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
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