On 01.10.2021, the research project GreifbAR started under the leadership of the DFKI (research area Augmented Reality). The goal of the GreifbAR project is to make mixed reality (MR) worlds, includin
The AILHA – AI enhanced Litter Harvester project aims to clean litter from the world's waters and returning the raw materials to the circular economy, e.g. through on-site recycling processes. For thi
Cardiovascular diseases, in particular myocardial infarction and stroke, are the leading cause of death worldwide. Atherothrombosis underlies almost all cardiovascular diseases. This is a progressive
The PlantMap project goal is a high-resolution spatiotemporal 3D map representation of individual plants – the PlantMap. Such a map will be filled with plant data taken by autonomous robots navigating
The main objectives of the activity cover the following aspects: Generation of a reusable and open reference dataset: For this activity several different use-cases have been proposed to be selected fo
Augmented visual intelligence and Targeted online research (AviaTor) Phase 2 builds upon the first AviaTor project. AviaTor provides law enforcement with a tool for faster prioritization of the most u
Es soll ein System entwickelt werden, das die Magnetresonanztomographie (MRT) für KI- Anwendungen zugänglich macht. Die MRT ist die flexibelste und variantenreichste Bildgebungsmodalität in der medizi
Machine Learning, and in particular Artificial Intelligence (AI) in Deep Learning, has revolutionized Computer Vision in almost all areas. These include topics such as motion estimation, object recogn
The current developments in digitalization, AI-based data processing, and powerful hardware lay the groundwork for future embodied AI assistants. These intelligent robots must be versatile, adaptive a
The project is based on a 5G OpenRAN indoor network that will be installed in the joint demo room of the Intelligent Networks and Intelligent Factory Systems research areas as part of the German Resea