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 AI has revolutionised Connected, Cooperative and Automated Mobility (CCAM) solutions by enabling AI models to be trained on vast amounts of data. However, AI...
The AIthena project will be represented at the Autonomous Main Event 2024 by Georg Stettinger from Infineon Technologies AG. Georg Stettinger will present the AIthena project - AI-based CCAM:...
In the context of the AITHENA project, when it comes to making AI more trustworthy and human-centric, data management and privacy are at the heart of the issue. In Work Package 2 we have 3 different...
Automated vehicles (AVs) currently behave differently from human-driven vehicles. This different behaviour has an impact on traffic dynamics. To understand the extent of this impact, it is necessary...
The AITHENA Use Case 3: Trustworthy and Human understandable Decision-making is related to the task of vehicle guidance in an automated driving software stack. The local environment is perceived by...
In the AITHENA Use Case 2: AI extended Situational Awareness/Understanding information from perception layers, communications and map information is fused into Local Dynamic Maps (LDM) to link...
The development of trustworthy AI systems is essential for understanding object perception, sensor data exploitation, redundancy, fusion, and discrepancy resolution. The AITHENA Use Case 1:...
The mid-term review of the AITHENA project took place in Brussels on 18 June 2024, hosted by the IRU partner. The main objectives of the review meeting were to present to the CINEA/EC...