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GSS EU Science Funding Gateway

GSS EU Science Funding Gateway

Generation of scenarios for development, training, virtual testing and validation of CCAM systems (CCAM Partnership)

Summary

Horizon Europe is the European Union (EU) funding programme for the period 2021 – 2027, which targets the sectors of research and innovation. The programme’s budget is around € 95.5 billion, of which € 5.4 billion is from NextGenerationEU to stimulate recovery and strengthen the EU’s resilience in the future, and € 4.5 billion is additional aid.

Programme Name

Horizon Europe (2021-2027)

Programme Description

Horizon Europe is the European Union (EU) funding programme for the period 2021 – 2027, which targets the sectors of research and innovation. The programme’s budget is around € 95.5 billion, of which € 5.4 billion is from NextGenerationEU to stimulate recovery and strengthen the EU’s resilience in the future, and € 4.5 billion is additional aid.

Programme Details

Call

Generation of scenarios for development, training, virtual testing and validation of CCAM systems (CCAM Partnership)

Detailed Call Description

The proposed actions are expected to address all of the following aspects:

  • AI based tools to transform raw traffic data into reliable, plausibility-proofed data as well as tools for automatic scenario identification and extraction from that data, including the detection of edge cases – the relatively rare, but particularly challenging traffic situations.
  • Generation of variations of scenarios (starting from those based on real traffic data and creating synthetic entries to the scenario database) with a focus on extending ODDs (including adverse weather conditions).
  • Integration of the above in an automatic processing chain with standardised, open interfaces to enable the efficient and seamless use of data from different sources.
  • Ensuring reliable merging of scenarios from different data sources (different projects, different vehicles and stationary units, different perspectives etc.).
  • Feeding the resulting scenarios in an openly accessible dynamic scenario database, which can be used for the development, training, virtual testing and type approval validation of CCAM systems, and which should be connected to or integrate existing national databases as far as possible.
  • Defining approaches and methods to handle uncertainty and the possibility of errors that might propagate in the assessment, including algorithms for their quantification.
  • Demonstration, assessment of the potential and upscaling of (quasi-)stationary sensor units to record high quality big traffic data in various environments, as well as under various environmental conditions and to identify relevant scenarios making use of the processing chain. When recording traffic data in urban areas, proposed action should aim at:
    • high geographic coverage,
    • high seasonal coverage including adverse environmental conditions (e.g. extreme weather conditions) and their synchronized recording and
    • coverage of complex traffic environments including the interaction with other road users (e.g. pedestrians, bicyclists, users of personal mobility devices).
  • Evaluating different approaches to identify relevant scenarios on rural roads based on the developed processing chain and on traffic data to be recorded on various types of rural roads.
  • Exploring the potential of complementing scenarios extracted from real traffic data with scenarios extracted from validated, highly detailed traffic simulations, including the use of AI to generate edge cases and other adversarial driving conditions in such simulations.
  • Development of a mechanism for the continuous generation of updates of the dynamic scenario database, including an arrangement for the organisational set-up, governance and financial management of the required activities and resources.

    • The research will require due consideration of cyber security and both personal and non-personal data protection issues, including GDPR.

    Financing percentage by EU or other bodies / Level of Subsidy or Loan

    100%

    EU contribution per project: €20.00 million

    Eligibility For Participation Notes

    Ιnternational cooperation is encouraged in particular with Japan and the United States but also with other relevant strategic partners in third countries.

    If projects use satellite-based earth observation, positioning, navigation and/or related timing data and services, beneficiaries must make use of Copernicus and/or Galileo/EGNOS (other data and services may additionally be used).

    Programme Category
    EU Competitive Programmes
    Total Budget
    €20.00 million
    Thematic Categories
    • Education and training
    • Environment and Climate Change
    • Regional Development
    • Research, Technological Development and Innovation
    • Transport
    • Urban Development
    Eligibility for Participation
    • Educational Institutions
    • Local Authorities
    • Private Bodies
    • Researchers/Research Centers/Institutions
    • State-owned Enterprises
    • Training Centres
    Call Opening Date
    04/05/2023
    Call Closing Date
    05/09/2023
    National Contact Point(s)

    Research and Innovation Foundation
    29a Andrea Michalakopoulou, 1075 Nicosia,
    P.B. 23422, 1683 Nicosia
    Telephone: +357 22205000
    Fax: +357 22205001
    Email: support@research.org.cy
    Website: https://www.research.org.cy/en/

    Contact Persons:
    Mr Christakis Theocharous
    Scientific Officer A’
    Telephone: +357 22 205 029
    Email: ctheocharous@research.org.cy

    Mr George Christou
    Scientific Officer
    Telephone: +357 22 205 030
    Email: gchristou@research.org.cy

    EU Contact Point

    https://ec.europa.eu/info/research-and-innovation_en

    Website
    Funding&Tenders HE Main Work Programme 2023–2024 – Climate, Energy and Mobility p. 448
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