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The digital networking of people, infrastructure and mobility carriers enables innovative solutions that sustainably change conventional mobility. Intelligent networking and big-data analytics can optimize the mobility parameters of road users and systems, as well as the mobility environment as a whole. Autonomous cars require a real-time understanding of the environment, the ability to adapt to a wide variety of conditions and the exchange of information about road users.



The BLINKER project is a collaboration between L3S and Goetting KG, a company which is specialized on driverless transportation systems


Platform for real-time vehicle data campaigns


A highly optimized hardware/software module library for intelligent sensor systems in highly automated driver assistance applications based on the reconfigurable Dream Chip Technologies DCT10A SoM platform


Prediction of electric vehicle charging demand as business enabler


Data4UrbanMobility focuses on facilitating innovative mobility services and mobility-related infrastructure development in smart cities through comprehensive data analytics


Establishing and achieving sustainable targets in Eastern Chinese cities


Intelligent fusion of radar and video sensors for demanding, highly automated driving situations


The goal of the Simple-ML project is to significantly improve the usability of Machine Learning processes in order to make them more accessible for a braod user group.


Ensure traceability, trust, security, and privacy in data economy


Improving future urban road traffic through cooperative approaches