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Even if a trend towards urban flight can be seen in parts of Germany, the global trend towards urbanization has continued unabated for decades. More than a third of the world's population now lives in densely populated regions, which means that living and parking space is becoming increasingly scarce. Commuter flows and inner-city traffic lead to massive congestion of the infrastructure and a shortage of traffic space. Alternatives to private motorized transport are therefore needed that can compete with the comfort of owner-occupied cars and at the same time significantly reduce the need for vehicles and the amount of space used per vehicle. Closing this gap and demonstrating it on a closed test site is the aim of the FLOOW joint project. The partners in this joint project are the Research Center for Information Technology FZI, the Karlsruhe Institute of Technology KIT, the automotive supplier SCHAEFFLER and the Munich-based navigation specialist AnavS as consortium leader. The project is also funded by the German Federal Ministry for Economic Affairs and Climate Protection.

The central component of FLOOW is the use of the advantages of artificial intelligence (AI) to create new solutions for the mobility of people and goods. These relate in particular to the robust and highly accurate localization of mobility systems (indoor and outdoor), generalized environment recognition and risk-aware maneuver planning on dedicated hardware for the energy-efficient solution of complex sub-problems on vehicles. This addresses indoor and outdoor use as well as combined use with transition between the two areas. An automated guided vehicle system (AGV), an automated cargo bike and a cargo mover serve as exemplary vehicle platforms. The final integration of the prototypes into an overall mobility system with intelligent fleet utilization on a factory site represents an exemplary implementation for urban use when ready for the market.