News
IKERLAN Webinar Provides Key Insights into AI-Functional Safety Management
Dr Javier Fernández Muñoz from IKERLAN contextualizes the current state of AI and Functional Safety Management On 4 July 2024, speakers from IKERLAN shared an in-depth look into the SAFEXPLAIN project developments in AI-Functional Safety Management (FSM) methodology....
SAFEXPLAIN joins EU AI Community with Digital Booth @ ADR Exhibition
The 2024 European Convergence Summit, hosted by the AI, Data and Robotics Association ecosystem, was held online on 19 June 2024 and brought together influential players from AI, Data and Robotics to discuss the impact of these technologies on society. The summit...
SAFEXPLAIN invited talk, workshop and panel participations at 28th Ada-Europe conference
Coordinator Jaume Abella introduces Irune Yarza as part of SAFEAI workshop co-located within 28th Ada-Europe conference The 28th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2024) was held in Barcelona, Spain from 11-14 June 2024. This...
Developing safe and explainable AI for autonomous driving: Automotive case study
NAVINFO has been working to validate the real-world applicability of their work by deploying an autonomous driving system on an embedded compute platform. Two videos showcase the performance of their driving agent in relevant safety scenarios.
SAFEXPLAIN shares strategies for diverse redundancy in ML/AI Critical Systems session at ERTS ’24
Martí Caro from the Barcelona Supercomputing Center presents at the 2024 Embedded Real Time System Congress Barcelona Supercomputing Center researcher Martí Caro presented "Software-Only Semantic Diverse Redundancy for High-Integrity AI-Based Functionalities" at the...
EV community at Innovex 24 welcomes presentation by SAFEXPLAIN
SAFEXPLAIN partner, Carlo Donzella from exida development, opens EV session with key note on "Enabling the Future of EV with TrustworthyAI" June 6, 2024 marked an important opportunity for the SAFEXPLAIN project to share project results with key audiences from the...
Successful showcase of SAFEXPLAIN use cases at Trustworthy AI webinar
SAFEXPLAIN partner Enrico Mezzeti from the Barcelona Supercomputing Center joined 8 other Horizon Europe-funded projects under call HORIZON-CL4-2021-HUMAN-01-01to present the project´s work on TrustworthyAI and its implications for its use cases. The nine projects,...
A Tale of Machine Learning Process Models at Automotive SPIN Italia
Carlo Donzella from exida development presents at the Automotive SPIN Italia 22º Workshop on Automotive Software & System SAFEXPLAIN partner Carlo Donzella, from exida development, presented at the Automotive SPIN Italia 22º Workshop on Automotive Software &...
SAFEXPLAIN seeks synergies within TrustworthyAI Cluster
Representatives of the coordinating teams of SAFEXPLAIN and ULTIMATE met to share progress, lessons learnt, and look for potential opportunities for synergies. They delved deeper into the issues that concern both projects: TrustworthyAI.
Safely docking a spacecraft to a target vehicle
The space scenario envisions a crewed spacecraft performing a docking manoeuvre to an uncooperative target (a space station or another spacecraft) on a specific docking site. The GNC system must be able to acquire the pose estimation of the docking target and of the spacecraft itself, to compute a trajectory towards the target and to send commands to the actuators to perform the docking manoeuvre. The safety goal is to dock with adequate precision and avoid crashing or damaging the assets.