Projects

Adra-e – AI, Data and Robotics ecosystem

Adra-e - Supporting the AI, Data and Robotics Community in the Development of a Sustainable European Ecosystem Adra-e is a Coordination and Support Action (CSA) funded by the European Commission under

HumanTech – Human Centered Technologies for a Safer and Greener European Construction Industry

The European construction industry faces three major challenges: improve its productivity, increase the safety and wellbeing of its workforce and make a shift towards a green, resource efficient indus

FUMOS – Fusion multimodaler optischer Sensoren zur 3D Bewegungserfassung in dichten, dynamischen Szenen für mobile, autonome Systeme

Autonomous vehicles will be an indispensable component of future mobility systems. Autonomous vehicles can significantly increase the safety of driving while simultaneously increasing traffic density.

FLUENTLY – Fluently - the essence of human-robot interaction

Fluently leverages the latest advancements in AI-driven decision-making process to achieve true social collaboration between humans and machines while matching extremely dynamic manufacturing contexts

APLASTIC-Q-Canada – Machine Learning identification of pollutants and other debris in Canadian Waterways

The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the

idFlexNetz – Creation of an ICT ecosystem for forecasting and operating models for the grid-serving operation of controllable consumers and generators

The joint project "idFlexNetz" aims to create an ICT ecosystem that enables initially heterogeneous models and algorithms to be traded as digital goods on a marketplace with the help of a universal de

ToHyVe – Toolbox für Hybride Veranstaltungsformate

The changes in business communications triggered by the COVID 19 crisis will be lasting. Companies have learned that a large proportion of meetings can certainly be conducted online, saving a lot of t

SEMSAI – Self-Referential Multi-Scale Modelling and Simulation of Severe Infectious Diseases

The Covid 19 pandemic has shown that model-based forecasts based on historical data often overestimate infection numbers, which weakens public acceptance of these forecasts as a basis for policy decis

Text2Tech – Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

The observation and analysis of strategic developments in the area surrounding the technology base of a company's products and services is a decisive competitive success factor in a globalized economy

PlasticObs_plus – Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

Airborne monitoring for plastic litter detection represents a modern, universal observation method to address the urgent and rapidly increasing problem of plastic litter pollution on a global scale wi