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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.

Projekte

CampaNeo

Platform for real-time vehicle data campaigns

 

 

CHORUS

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

 

 

d-E-mand

Prediction of electric vehicle charging demand as business enabler

 

 

 

 

Data4UrbanMobility

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

 

 

 

 

 

EAST-CITIES

Establishing and achieving sustainable targets in Eastern Chinese cities

 

 

 

Zukunftslabor Mobilität

In the future lab mobility, the L3S investigates communication-based fusion of sensor data of different vehicles to achieve a collective perception

 

 

 

 

ifuse

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

 

 

 

 

Simple-ML

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

 

 

 

smashHit

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

 

 

 

 

 

SocialCars

Improving future urban road traffic through cooperative approaches