23 citations · 38 across the 6 of their papers we have counts for
6 papers
A Strong Linear Baseline for Whole-Heart Cardiac Shape Completion on CT, with an Open Eleven-Structure Statistical Shape Model
Matej Gazda, Jakub Gazda, Juraj Gazda +1
Public cardiac cohorts annotate different subsets of the heart, so shapes from separate sources cannot be pooled without shared correspondence. Among released cardiac shape resourc…
Radiance Field Delta Video Compression in Edge-Enabled Vehicular Metaverse
Matúš Dopiriak, Eugen Šlapak, Juraj Gazda +3
Connected and autonomous vehicles (CAVs) offload computationally intensive tasks to multi-access edge computing (MEC) servers via vehicle-to-infrastructure (V2I) communication, ena…
3CSim: CARLA Corner Case Simulation for Control Assessment in Autonomous Driving
Matúš Čávojský, Eugen Šlapak, Matúš Dopiriak +2
We present the CARLA corner case simulation (3CSim) for evaluating autonomous driving (AD) systems within the CARLA simulator. This framework is designed to address the limitations…
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
Eugen Šlapak, Matúš Dopiriak, Mohammad Abdullah Al Faruque +2
The metaverse is a virtual space that combines physical and digital elements, creating immersive and connected digital worlds. For autonomous mobility, it enables new possibilities…
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
Eugen Šlapak, Enric Pardo, Matúš Dopiriak +2
The proliferation of technologies, such as extended reality (XR), has increased the demand for high-quality three-dimensional (3D) graphical representations. Industrial 3D applicat…
Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle-based network coverage optimization
Marek Ružička, Marcel Vološin, Juraj Gazda +3
The challenge of dynamic traffic demand in mobile networks is tackled by moving cells based on unmanned aerial vehicles. Considering the tremendous potential of unmanned aerial veh…