Projects

KoPoSaB – Kollaborations-Plattform zur KI-optimierten Steuerung autonomer Bot-Systeme

The project KoPoSaB deals with the development of a collaboration platform based on artificial intelligence for the control and optimization of autonomous bot systems. A novel route generation method

GeAR – Gelingensbedingungen und Grundsatzfragen von Augmented Reality in experimentellen Lehr-Lernszenarien

In Augmented Reality the real world is extended by additional information. Already common areas of application are navigation or the transmission of sports events such as football or ski jumping. Augm

SOILAssist2 – Sustainable protection and improvement of soil functions with intelligent land management strategies

Automation and optimisation are becoming increasingly important in agricultural processes. In addition improvements in efficiency, soil protection is gaining attention. The project SOILAssist-2 addres

HeadSense – Adaptive, Multimodal Sensing with Unobtrusive Head Mounted Devices

Complex head/face-based devices will become increasingly suitable for use in everyday situations in the future due to a combination of changing consumer attitudes and technical progress. The developme

F-Predict – Development of a forecasting model regarding fertilizer prizes

The project F-Predict is dedicated to creating a prediction model which can predict fertilizer prices. The experiences in financial forecasting which were gained in the project smart farming are used.

SIM3S – Smart Inclusive Multi-Modal Mobility Services

In the SIM3S project, data from the BMVI data offerings mCloud and MDM will be linked, refined and jointly analysed with other open data, user-generated content and data from individual modes of trans

IUNO Insec – Integrations- und Migrationsstrategien für industrielle IT-Sicherheit

MOTIVATION The national reference project on IT security in industry 4.0 (IUNO) has researched methodological approaches to threat and risk assessment for industrial use. Solution concepts were develo

BBDCII – Berliner Big Data Center

Goals In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer

GEOBOX – Standardisierung der Geobox-Infrastruktur - Dezentrale Datenhaltung und regionale Vernetzung

- Partners Technische Universität Darmstadt (TU Darmstadt) Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V. (KTBL Darmstadt) Dienstleistungszentrum Ländlicher Raum Rheinhessen-Nahe-Hunsr

AI.EDU Lab – AI.EDU Research Lab

Although there has been relatively little research on artificial intelligence in higher education so far, the possibility raises high expectations for improvements in teaching and learning quality. In