CAF SIGNALLING IS INVOLVED IN DIFFERENT RESEARCH PROJECTS RELATED TO COMPUTER VISION (CV) AND ARTIFICIAL INTELLIGENCE (AI) ENHANCED SYSTEMS DEVELOP IN ORDER TO REACH A HIGHER AUTONOMY IN URBAN VEHICLES AND ALIGN THEM WITH RAILWAY EUROPEAN NORMATIVE.
The EU-funded FRACTAL project is developing a computing node on which to base a cognitive fractal network capable of learning from and responding to its environment. It will support seamless, fast and reliable interaction between the physical world and the cloud. This node will have the capability of learning how to improve its performance against the uncertainty of the environment.
As a result of the integration of these cognitive systems into a fractal network, there will be another intrinsic crucial advantage, emergency and adaptability; new functions will flourish through the created space of possibilities of our cognitive Systems. This complex network will transfer all those cognitive advantages to the Edge, a computing paradigm that lay down between the physical world and the cloud.
The high node performance ), which includes a multicore platform with HW support for safety and AI acceleration features, and that will be developed and prototyped in FRACTAL, seems a perfect hardware substrate to meet the challenging requirements of autonomous train operations.
CAF Signalling will use the FRACTAL approach on AI-enabled computing platforms to execute some functionalities developed in CV&AI field for autonomous train operation.
- Automatic platform detection,
- Automatic accurate stop at platforms and
- Safe passenger transfer.
FRACTAL project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 877056.