Projects

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).

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.

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

MyWay project investigated, developed and validated an integrated platform, the “European Smart Mobility Resource Manager”, including cloud-based services and facilities to support community supplied information collection and processing.

The project TEAM is aimed at developing new collaborative mobility solutions and addresses two important challenges in the present time: Designing an infrastructure, which is capable of meeting the increasing traffic demand and decreasing pollution.

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.

The European Research project PRE-DRIVE C2X aims to specify a detailed architecture and to realize a pan-European C2X-system, which is a communication system for vehicles exchanging relevant information with other vehicles or with equipped traffic infrastructure.

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.

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.