News

On the 10th of October, the CCAM (Connected, Cooperative, and Automated Mobility) Multicluster Meeting took place in Brussels, focusing on enhancing collaboration between large-scale demonstrations and various clusters within the CCAM Partnership.

AI4CCAM project, being a part of “Cluster 5: Key Enabling Technologies”, contributed to the discussion on how the project’s outcomes can support large-scale demonstrations across Europe.
The project contribution is centered on four major results expected from AI4CCAM:

• Methodology Input: Integration of EU Trustworthy AI guidelines into CCAM applications.
• Road Scenarios in MOSAR: Modelling of ethical issues within road scenarios.
• Participatory Space: Creation of a collaborative platform bringing together the general public and industry experts.
• Research on Scene Understanding: Contributions to pedestrian and vehicle trajectory prediction, including model definition and validation.

These project results have the potential to be scaled up and transformed into building blocks for large-scale demonstrations. Not only do they offer a qualitative understanding of scene dynamics and address ethical challenges in road scenarios, but they also provide an inclusive Participatory Space—designed to gather feedback from both users and citizens to enhance the public’s perception of CCAM technologies.

Visit the photogallery!