Skip to main content

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

BLINKER

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

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

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