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 project will further develop and optimise the road defect detection algorithm developed within ARNL. The algorithm uses a self-learning neural network, LiDAR and camera fusion to determine road surface deviations in front of vehicles that are...
The project is delivered in the framework of the FAIR-IMPACT EU project (GA 101057344), supported by its 1st Open Call Route 2 programme. The aim of the project is to integrate RO-Crate support into the Dataverse repository system as a component of...
The Multinational Capability Development Campaign (MCDC) Artificial Intelligence Supported by Sensor Fusion project was jointly organised by HUN-REN SZTAKI (Hungarian Research Network Computer and Automation Research Institute), the MH Military...
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)...
Development of an AI-supported, camera-based product family for monitoring and predicting daily activities of premature infants
Department in charge
Currently used methods rely exclusively on objective diagnostic tools for monitoring the condition of infants. However, professionals increasingly recognize the importance of individual quality of life for patients, although suitable tools for...
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...
The activities of the National Laboratory are focused on fundamental and applied research on the autonomous functionality and the control of road vehicles, aircraft and drones, robots and cyber-physical manufacturing systems. The main fundamental...
Design of automated vehicle control systems for critical situations, taking into account the state of the wheel-ground contact
Department in charge
When controlling automated vehicles, it is essential that the control system has information about the state of the ego-vehicle and its environment. The knowledge of the wheel-road contact characteristics is a particularly important part of this...
The aim of our research and development is to use new technological opportunities created by the digital transformation of industry. Also, to make production and logistics networks more efficient and adaptable to changing circumstances, while taking...
Cooperative emergency trajectory design for connected autonomous vehicles
Department in charge
One of the cornerstones of the development of autonomous vehicles nowadays is that the vehicle's control system is able to plan the path of the vehicle. It must take into account the static and dynamic objects of the environment. Environmental...
