Global turmoil, terrorism and hybrid war has made cost-effective and energy-efficient surveillance of the critical infrastructure extremely important for public safety and critical functions. PROACTIF tackles the challenge by developing unmanned...
Efficient environment perception and reconstruction: Simplifying and compressing point clouds without the loss of meaningful information
Department in charge
In today's autonomous world, the transmission and interpretation of large amounts of information describing the environment is a key issue. The research aims to make self-driving cars, robots, and drones work more efficiently. This requires more...
B-prepared builds on a freely accessible massive collaborative knowledge base and data hub, demonstrating its usefulness via three demonstrator applications: a cooperative multiplayer VR serious game, simulating real disaster scenarios for the safest...
With technology rapidly enhancing and becoming more affordable, commercial and consumer drones have become increasingly popular since the beginning of the 21st century. They pose serious threats to safety (e.g. disturbances for airports and airplanes...
The Sun is an enigmatic star that produces the most powerful explosive events in our solar system - solar flares and coronal mass ejections. Studying these phenomena can provide a unique opportunity to develop a deeper understanding of fundamental...
Scene analysis and reconstruction from incomplete spatial data
Department in charge
Due to the rapid progress of sensor technology, processing a large amount of incomplete 3D spatial data is becoming a critical issue. In environment perception tasks (e.g., remote surveillance, navigation of autonomous vehicles, medical diagnostics)...
The SLICES-RI program aims to provide research infrastructure for IT experiments and to develop and provide related services in areas such as 5G, 6G, NFV, Internet of Things, and cloud computing. Based on the two preceding projects within SLICES-RI...
Egy adott szenzorplatformról a vizsgált esemény értékelhető néhány leképzési eljáráson alapuló felismerési módszerrel, például mély-tanulási struktúrákkal. Ebben a folyamatban az adat / tulajdonság halmazt értékelő hálózatokon keresztül szemantikus...
With new hardware and artificial intelligence against skin cancer: The aim of the iToBoS project is to train an AI system able to integrate information from different sources, assessment of individual moles while considering the specific...
Digital twins bringing agility and innovation to manufacturing SMEs, by empowering network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)
Bring back to the engineering students the results of research activities in the field of digital manufacturing. Modeling, analysis, virtual and augmented reality, as well as the role of the human workers in the factories have been among the main...
