Press, June 20 & 21, 2024
AI4CCAM General Assembly Held at Škoda Auto Headquarters in Mladá Boleslav
Mladá Boleslav, 21 June 2024 – The AI4CCAM General Assembly took place at the Škoda Auto Headquarters in Mladá Boleslav, bringing together key stakeholders and experts in the field of AI for Connected and Cooperative Automated Mobility (CCAM). The event provided a platform for discussing the latest advancements and future directions in this rapidly evolving sector.
The assembly commenced with a warm welcome from Škoda Auto representatives and Arnaud Gotlieb, setting a collaborative tone for the sessions. The agenda was packed with insightful presentations, including comprehensive updates on various work packages and focused discussions on critical topics such as diffusion models and uncertainty quantification and concentrated mainly on assessing the project’s scientific impact. Attendees analyzed and discussed data management and the use case progress and impact during and beyond the project through specific breakout sessions.
INLECOM participated enthusiastically in the discussions, particularly as the leader of the outreach and exploitation work package. Additionally, INLECOM is spearheading the activities of the Use Case Validation definition task, significantly contributing to the project’s progress.
On the second day of the AI4CCAM General Assembly, attendees developed a detailed coordination action plan for the upcoming periodic report. The agenda featured insightful presentations on guideline proposals and an engaging visit to Škoda’s state-of-the-art production facilities. These activities were instrumental in shaping future strategies and ensuring alignment with the project’s overarching goals.
As the General Assembly concluded, participants looked forward to continuing their journey of innovation and collaboration, driving forward the future of connected and cooperative automated mobility.
AI4CCAM will provide automated driving scenarios involving ethical, social, and cultural choices, introducing advanced AI models for predicting vulnerable road users’ (VRU) behaviour and considering factors for enhancing user acceptance of self-driving vehicles.
Learn more about the project
This project has received funding from the Horizon Europe research and innovation programme under GA 101076911. Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the granting authority can be held responsible for them.
