RISE
AI assistant serves as first point of contact for legal questions
Start: 07.2022
End: 09.2025
The MAD Urban project is implementing and researching a prototype of the Managed Automated Driving concept.
Managed Automated Driving shifts vehicle automation to the traffic infrastructure. Functions such as environment perception, vehicle localization, behavioral decisions, and trajectory planning and control are implemented by an intelligent edge infrastructure. The automated vehicle becomes a simple actuator – it merely executes the commands of the traffic infrastructure equipped with sensors and edge computers and makes no complex decisions by itself. This can lead to economies of scale when entire vehicle fleets are automated. Vehicle-to-infrastructure communication (V2I) is used to transfer data to the vehicle.
The FZI Research Center for Information Technology is conducting research into infrastructure-based perception and localization solutions, as well as methods for trajectory control that can implement external trajectories of the edge infrastructure. Together with the project partners, the developed methods are being tested in two German test areas: the Test Area Autonomous Driving Baden-Württemberg (TAF-BW) and the Lower Saxony Test Field (TNS).
Intelligente Lösungen für den Transport von Menschen und Gütern für die Mobilität der Zukunft stellen einen Schwerpunkt der FZI-Forschung dar. Dazu entwickelt das FZI integrierte Mobilitätssysteme – von der Fahrzeugautomatisierung über die Anwendung von KI in Verkehrssystemen bis zur urbanen Mobilität und Logistik.
Funding notice:
The MAD Urban joint project is funded by the German Federal Ministry for Economic Affairs and Energy.
Project partners:
AI assistant serves as first point of contact for legal questions
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