by Janine Marie Gehrig Lux | Nov 24, 2025 | Uncategorized
After three years of research and collaboration, the EU-funded SAFEXPLAIN project, coordinated by the Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC-CNS) has released its final results: a complete, validated and independently assessed...
by Janine Marie Gehrig Lux | Nov 5, 2025 | Uncategorized
The space case study takes place in a scenario with high relevance for the space industry, a spacecraft agent navigating towards another satellite target and attempting a docking manoeuvre. This is a typical situation of an In-Orbit Servicing mission. The case study...
by Janine Marie Gehrig Lux | Nov 5, 2025 | Uncategorized
The SAFEXPLAIN railway demo comprises an Automatic Train Operation (ATO) system that detects obstacles in the railway and estimates their distance by the assistance of cameras (i.e., right / left cameras). It is based on ROS2 architecture and consists of four main...
by Janine Marie Gehrig Lux | Oct 14, 2025 | Uncategorized
The final phase of the automotive case study focused on building and validating a ROS2-based demonstrator that implements safe and explainable pedestrian emergency braking. Our architecture integrates AI perception modules (YOLOS-Tiny pedestrian detector, lane...
by Janine Marie Gehrig Lux | Oct 8, 2025 | Uncategorized
On 23 September 2025, members of the SAFEXPLAIN consortium joined forces with fellow European projects ULTIMATE and EdgeAI-Trust for the event “Trustworthy AI in Safety-Critical Systems: Overcoming Adoption Barriers.” The gathering brought together experts from...
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