The AIthena project (AI-Based CCAM: Trustworthy, Explainable, and Accountable) is contributing to the creation of an Explainable AI (XAI) in Cooperative, Connected and Automated Mobility (CCAM)...
In the latter half of this year, the AITHENA project finalised one of its first major outputs from Work Package 1, led by Rupprecht Consult, establishing the methodology for the development and...
Development of trustworthy and explainable AI algorithms in CCAM What AI algorithms are being developed in the AIthena project to advance autonomous vehicle technology and deployment? What are the...
Addressing Data Privacy in CCAM What kind of data do cars collect? How does AI use data in cars? What privacy measures are in place and what are the researchers in the AIthena project proposing?...
Standardisation of AI machine learning model cards in CCAM What is a machine learning model? How are AI algorithms standardised? And how does the AIthena project ensure accountability,...
On 10 October 2024, the AIthena project was represented at the CCAM Partnership Multicluster Meeting in Brussels.The AIthena's presentation on expected results and potential contribution to future...
The AIthena project consortium is proud to announce that Jean-Pierre Busch from our partner institute, ika, will be presenting at ROSCon 2024, held in Denmark. As part of AIthena's ongoing...
On 18 September 2024, Oihana Otaegui (Vicomtech), AIthena project coordinator, presented AIthena at the IRU Commission on Technical Affairs (CIT) meeting in Brussels. This meeting brought together...
The AIthena project is pleased to announce that the research paper: "V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic," has been accepted for presentation at...
Understanding how AI works: CCAM Edition What is the relationship between AI and modern cars? How does the AIthena project explain AI in CCAM technologies? What are the focus areas of the AIthena...