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Volkswagen

Volkswagen focuses on definition of practical-relevant requirements and development of a modular simulation environment to support the development of fault detection and residual risk assessment procedures for perception systems.


The Volkswagen Group, with its headquarters in Wolfsburg, is one of the world’s leading automobile manufacturers and the largest carmaker in Europe.

The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Each brand has its own character and operates as an independent entity on the market. The product spectrum ranges from motorcycles to small cars and luxury vehicles.In addition, the Volkswagen Group offers a wide range of financial services, including dealer and customer financing, leasing, banking and insurance activities, and fleet management.The Group operates 124 production plants in 20 European countries and a further 11 countries in the Americas, Asia and Africa. 671,205 employees worldwide produce vehicles, and work in vehicle-related services or other fields of business. The Volkswagen Group sells its vehicles in 153 countries.Volkswagen is interested in the application of new developments in all automotive areas not only to meet all relevant technical and legal requirements but also to satisfy customer demands on a consistently high level. This is the reason why Volkswagen follows a model based system engineering approach. Volkswagen is interested in the development of continuous simulation methods for HW and SW in the development process.

Volkswagen is interested in the application of new developments in all automotive areas not only to meet all relevant technical and legal requirements but also to satisfy customer demands on a consistently high level. Volkswagen will contribute to the specification of relevant use cases and homologation strategies for certification of perception systems for SAE 3+ vehicles and to the definition of safety-, security- and privacy-critical metrics for perception systems. Volkswagen will contribute to the development of a modular simulation environment to support the development of fault detection and residual risk assessment procedures for perception systems. Volkswagen will work on validation concepts for environment perception systems using a modular simulation environment.


www.volkswagenag.com

Germany

 

Germany

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    Infineon - Germany

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  • Volkswagen

    Volkswagen

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  • SafeTRANS

    SafeTRANS

    SafeTRANS harmonizes and aligns project results between internal and external stakeholders, and identifies and supports standardization opportunities SafeTRANS is a Read More
  • TU Dresden

    TU Dresden

    TU Dresden focuses on analysis and assessment of residual risk for highly automated vehicles TU Dresden, founded in 1828, is Read More
  • 1

Austria

  • Infineon - Austria

    Infineon - Austria

    IFAT focuses on safety-, security- and privacy-critical components verified and validated before market release Infineon Technologies AG is a world Read More
  • AVL List GmbH

    AVL List GmbH

    Clean. Affordable. Connected. Intelligent. We as AVL provide leading technologies and superior services to our customers to create a better Read More
  • Virtual Vehicle

    Virtual Vehicle

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  • SBA Research

    SBA Research

    SBA Research is the largest research center in Austria which exclusively addresses information security. Its mission is to significantly contribute Read More
  • Datasoft Embedded

    Datasoft Embedded

    www.datasoft-embedded.com     Read More
  • TU Graz

    TU Graz

    TU Graz focuses the automation of diagnosis and testing based on models, and on providing means for risk assessment. The Read More
  • 1

Netherlands

  • TU Delft

    TU Delft

    TUDELFT will develop a novel digital twinning methodology which will be demonstrated in collaboration with the industrial partners Delft University Read More
  • NXP

    NXP

    NXP Semiconductors, provides High Performance Mixed Signal solutions that leverage its leading RF, Analogue, Power Management, Interface, Security and Digital Read More
  • 1

France

  • Inria

    Inria

    Inria will enhance the use of formal models for automatic generation of high-coverage test suites and analysis of residual risk Read More
  • 1

Norway

  • TracSense

    TracSense

    TracSense will provide the means and knowledge to obtain and interpret information on road surface conditions TracSense AS is a Read More
  • Nxtech

    Nxtech

    NXTech AS is an engineering company started in 2008 by keypersons with senior experience within R&D and business development. NXTech Read More
  • Sintef

    Sintef

    SINTEF AS is Scandinavia's largest independent research organisation and is a non-profit research foundation. SINTEF employs 2000 people most of Read More
  • 1

Czech Republic

  • IMA

    IMA

    IMA focuses on analysis of related standards, collection of the test requirements, implementation of the test methodology and optimization of Read More
  • Ceitec - Brno University of Technology

    Brno University of Technology

    BUT focuses on development of fail-operational powertrains and perception systems Read More
  • 1

Lithuania

  • TeraGlobus

    TeraGlobus

    TeraGlobus is the leader of project overall dissemination communication and exploitation, focusing all the efforts to create the project results' Read More
  • 1

United States

  • University of Nevada, Reno

    University of Nevada, Reno

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  • 1

Acknowledgement

ArchitectECA2030 has been accepted for funding within (ECSEL JU) in collaboration with the European Union’s H2020 Framework Programs under grant agreement No 877539.

The project will receive an ECSEL JU funding up to 4 M€ completed with national budgets from national funding authorities in Germany, Netherlands, Czech Republic, Austria and Norway.  

Project Facts

Short Name: ArchitectECA2030

Full Name: Trustable architectures with acceptable residual risk for the electric, connected and automated cars

Duration:  01/07/2020- 30/06/2023

Total Costs: ~ € 13,6 Mio.

Consortium: 20 partners from 8 countries

Coordinator: Infineon Technologies AG

Funding

 

Horizon 2020
Horizon 2020

 

    

National Funding

National Funding

 


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