The goal of the project is to establish a Hungarian research data repository supporting the COVID-19 pandemic related research initiatives. The research data repository serves as a data store and repository solution both for international and...
The DigiPrime H2020 consortium groups 8 research centers and 25 companies of 36 European countries that plays major role in the digitization of circular economy. SZTAKI joins in with AI and Digital Twin solutions, among other technical and scientific...
NEANIAS will promote Open Science practices and play active role in the materialization of the EOSC ecosystem by efficiently engaging large scientific and professional communities; actively contributing to the technological, procedural, strategic and...
Detection of the road environment and various traffic events by an intelligent road vehicle
Department in charge
The aim of the project is to determine which of the following vehicle features is the most important for properly managing traffic situations and in taking traffic related decisions while driving a modern car. The considered vehicle features are the...
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...
FameLab is the world’s leading science communication competition. It spotlights the science communicators of tomorrow, who can show off their area of expertise in a truly engaging way. Cheltenham Festivals launched the first FameLab in 2005, and in...
The EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e...
The aim of the project is to implement a new incubator device that reduces the mortality rate of newborns, particularly premature infants, improves their survival chances and prospects, mitigates damage, and enhances their safety. This will be...
The goal of the project is to reduce the death rate of neonatal and prenatal infants, and increase their chances of living via developing vision based non-contact body devices for monitoring physiological signals like pulse rate, breath rate, blood...
Multimodal feature fusion for establishing novel 3D saliency models
Department in charge
The project aims to process the data of novel 3D sensors (e.g. Microsoft Kinect, Lidar, MRI, CT) available in a wide range of application fields and to fuse them with 2D image modalities to build saliency models, which are able to automatically and...
Numerous automotive and small aircraft companies have announced promising new applications in the field of autonomous vehicles. Alongside self-driving cars, in the near future small-size micro aerial vehicles could be used for goods delivery (Amazon...
The aim of the project is to develop an image fusion and processing method that uses images of cameras with different modalities to track various objects, taking into account the needs of border surveillance end-users. The project is financed by ESA...
