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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

BLINKER - Localization and Navigation With a 360°-Camera

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

Data4UrbanMobility

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

ifuse

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

IoTdroid

Development of an Android application to allow inexperienced end-users to explore and analyze IoT devices in their perimeter.

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.

Graduiertenkolleg SocialCars

The focus of SocialCars is on significantly improving future urban road traffic, through cooperative approaches.

topikos

Collaborative Low-Effort Topological and Topical-Social Indoor Mapping

UMA - Urban Mobility Assist

Smart cities need data-driven concepts for effective and sustainable management of everyday tasks