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.

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COVMAP2

COVMAP2

The COVMAP2 project aims to combine GPS, sensor and video data to analyse road and traffic situations for cyclists and pedestrians for the next generation of smart maps.
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DAISEC

DAISEC

The European Digital Innovation Hub for AI and Cybersecurity (DAISEC) supports companies from the production, mobility and skilled crafts sectors as well as the public sector in the application and development of Artificial Intelligence and Cybersecurity.
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Leibniz AI Academy

Leibniz AI Academy

Development and establishment of a transcurricular, cross-disciplinary micro-degree program "Leibniz AI Academy" at Leibniz Universität Hannover (LUH).
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Model predictive control for reactive traffic control

Model predictive control for reactive traffic control

Investigating suitable MPC appraoches to emulate a reactive environment for testing AVs in different scenarios.
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ZUSE-KI-mobil

ZUSE-KI-mobil

The ZUSE-KI-mobil project aims to develop an AI accelerator with a flexible, expandable and scalable system-on-chip (SoC) architecture.
Zukunftslabor "Mobilität" (Future Lab "Mobility")

Zukunftslabor “Mobilität” (Future Lab “Mobility”)

In the Future Lab (Zukunftslabor Mobility, L3S investigates communication-based fusion of sensor data of different vehicles to achieve a collective perception.