Deployment and testing of the AI-driven CCAM technologies How do deployment and testing efforts work in AI-driven CCAM technologies? What is the value of deployment and testing efforts? In the development of AI-driven technologies, training data for machine learning...
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) development and testing frameworks by exploring three main AI pillars:...
In the second half of 2024, 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 validation activities of the AITHENA project. The core objective is to...
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 challenges faced in developing these algorithms? Autonomous vehicles...
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? Today’s vehicles collect large amounts of data, such as vehicle...
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