CLM++ works on the extension of the core functionalities of the Common Learning Middleware (CLM). This solution enables the use of uniform interfaces and exchange formats while maintaining existing formats and tools. This way it unites teaching and learning technologies within and outside the Fraunhofer Gesellschaft.
5G Ready Trial Platform aims to provide support for the technology development between prototype implementation and commercial systems addressing the development and trialing needs in the last phases of development.
5G-VICTORI is a large scale EU funded project that aims at validating 5G networks with vertical user cases. Large scale trials for Railway, Energy, Media and Factories of the Future are planned. The testbed infrastructure for the Berlin trials is provided by Fraunhofer FOKUS.
Vertical demos over Common large scale field Trials for Rail, energy and media Industries
Federating Japanese and European 5G Testbeds to Explore Relevant Standards and Align Views on 5G Mobile Network Infrastructure Supporting Dynamic Creation and Management of Network Slices for Different Mobile Services.
With the SENTINEL lighthouse project, the Fraunhofer-Gesellschaft is launching a lead project to develop key technologies for the upcoming 6G mobile communications standard. The focus is on terahertz technologies and solutions for flexible networks. Fraunhofer FOKUS, as well as four other Fraunhofer institutes, are involved in SENTINEL.
Within the AAES project, SQC develops a demonstration model which serves to deliver proof of the various options available for acceleration of development cycles in the automobile industry as well as to show their practical feasibility in real-life situations involving control of onboard electronics.
The key objective of the AD4 project is the enhancement of a 3D Virtual Reality system, called D3 (D-cube), for the real time visual representation and manipulation of data in the field of Air Traffic Management and Control, both in open space (enroute) as well as at Airport level.
AEGIS brings together the data, the network & the technologies to create a curated, semantically enhanced, interlinked & multilingual repository for public & personal safety-related big data.
The KI-LOK project, therefore, aims to develop new test procedures and methods for safeguarding and certifying AI-supported technologies for safety-critical applications in railroad technology.