For enhanced safety in AI-based systems in the railway domain, the SAFEXPLAIN project has been working to integrate cutting-edge simulation technologies with robust communication frameworks. Learn more about how we’re integrating Unreal Engine (UE) 5 with Robot Operating System 2 (ROS 2) to generate dynamic, interactive simulations that accurately replicate real-world railway scenarios.
For enhanced safety in AI-based systems in the railway domain, the SAFEXPLAIN project has been working to integrate cutting-edge simulation technologies with robust communication frameworks. Learn more about how we’re integrating Unreal Engine (UE) 5 with Robot Operating System 2 (ROS 2) to generate dynamic, interactive simulations that accurately replicate real-world railway scenarios.
The SAFEXPLAIN project has reached an exciting point in its lifetime: the integration of the outcomes of the different partners.
The work related to the case studies began with the preparation of AI algorithms, as well as the datasets required for the trainings and for the simulation of the operational scenarios. Simultaneously, the case studies have counted on support from the partners focused on explainable AI (XAI), safety patterns and platform development.
Project coordinator Jaume Abella from the Barelona Supercomputing Center represented the project at the Birds of a Feather session, “TrustworthyAI Cluster: Main innovations and future challenges” together with cluster siblings EVENFLOW, TALON and ULTIMATE.
The third webinar in the SAFEXPLAIN webinar series will share the novative infrastructure behind the AI-FSM and XAI methodologies. Participants will gain insights into the integration of the proposed solutions and how they are designed to enhance the safety, portability and adaptability of AI systems.
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