Published October 4, 2021 | Version v1
Preprint Open

MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments

  • 1. Faculty of Technical Sciences, University of Novi Sad, Serbia
  • 2. ECE, Aarhus University, Denmark
  • 3. ITML, Greece
  • 4. Fondazione Bruno Kessler, Italy
  • 5. audEERING GmbH, Germany
  • 6. Greenroads Ltd, Malta
  • 7. FORTH-ICS, Greece
  • 8. Privanova, France
  • 9. Infineon Technologies AG, Germany
  • 10. Municipality of Trento, Italy
  • 11. INTRASOFT, Greece
  • 12. Sphynx Technology Solutions AG, Switzerland
  • 13. FORTH-ICS, Greece & Technical University of Crete, Greece
  • 14. ZELUS, Greece
  • 15. Greenroads Ltd, Malta & University of Malta, Malta
  • 16. Atos Spain SA, Spain
  • 17. IIT-CNR, Italy
  • 18. Fondazione Bruno Kessler, Italy & University of Trento, Italy
  • 19. audEERING GmbH, Germany & EIHW, University of Augsburg, Germany

Description

A Smart City based on data acquisition, handling and intelligent analysis requires efficient design and implementation of the respective AI technologies and the underlying infrastructure for seamlessly analyzing the large amounts of data in real-time. The EU project MARVEL will research solutions that can improve the integration of multiple data sources in a Smart City environment for harnessing the advantages rooted in multimodal perception of the surrounding environment.

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Additional details

Funding

MARVEL – Multimodal Extreme Scale Data Analytics for Smart Cities Environments 957337
European Commission