Projects

Before a vehicle can travel automatically, it must be able to “see” and recognize objects autonomously. The Fraunhofer lidar labeling tool, called “FLLT.AI”, supports AI developers, labeling experts and software developers of automotive manufacturers and their suppliers as well as sensor manufacturers in analyzing and annotating image data from cameras and lidar sensors.

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.

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.

With the help of Car-to-X Communication infrastructure, individual vehicles and a lot of further stakeholders have access to new, high resolution information in real time. Using this information, a broad spectrum of applications, especially for traffic safety and efficiency applications will be developed in simTD.

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.

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.