Projects

The project m4guide aims to develop and test a seamless travel, information and navigation system for standard smartphones.

The partners working on the research project “KI-FLEX” are developing a powerful, energy-efficient hardware platform and the associated software framework for autonomous driving.

In the DIGINET-PS project, connected and automated driving is researched in the urban test field of Berlin. The focus is on combining modern smart city technologies with future vehicles.

The project “Berliner Digitaler Bahnbetrieb” (BerDiBa) tests and develops technologies for automated driving on railroads. Fraunhofer FOKUS will use its expertise in environment perception for automated vehicles and adapt its artificial intelligence tools for traffic on rails.

In the Reallabor Hamburg (RealLabHH) the mobility of tomorrow will be tested in the here and now of a metropolis in order to create a blueprint for the digital mobility of the future. Fraunhofer FOKUS is developing with partners a digital collision warning system for vulnerable road users such as cyclists and e-scooter drivers.

In Reinickendorf, Berlin, automated vehicles and new communication technologies are used to test and further develop safety and comfort in digital urban traffic.

During the “Ride4All” project, a model route for barrier-free public transport will be established over the next two years. Users will travel from the Soest to Paradiese station in automated minibuses, while being accompanied by a inclusive, highly accurate app.

Assistance systems, such as GLOSA, collision warning, and Digital St. Andrew's Cross, can increase safety and comfort for road users, but also improve efficiency. For these assistance systems to be available to VRUs (“Vulnerable Road Users”) as well as passenger cars, highly accurate positioning is necessary. It is crucial to assign road users to the correct lane on a road, for example, to determine the correct traffic light sequence or to detect a possible collision.

Curbside space is an important ressource in urban traffic, but its availability is limited. To provide a more transparent and flexible use, the Smart mobility team is developing a curbside screening solution that integrates diverse sensor sources to provide an accurate picture of the current road situation.

The ConnRAD project aims to develop system architectures as well as communication protocols and mechanisms to increase reliability and resilience for connected, safety-critical driving functions as part of connected mobility (C-ITS, CCAM).