IEEE Transactions on Intelligent Vehicles Authors Alexandru Manole, Laura Diosan Abstract Extracting essential information including the topological structure of rail-tracks, the position of switches and their current state can increase safety by reducing human error, while also boosting the efficiency of rail transportation. Despite the impressive advancements in the field of autonomous driving, computer…
Procedia Computer Science Authors Andrei-Robert Alexandrescu, Răzvan-Gabriel Petec, Alexandru Manole, Laura Diosan Abstract Deep learning became an ubiquitous paradigm due to its extraordinary effectiveness and applicability in numerous domains. However, the approach suffers from the high demand for data required to achieve the potential of this type of model. An ever-increasing subfield of Artificial…
arXiv.org Authors Andrei-Robert Alexandrescu, Răzvan-Gabriel Petec, Alexandru Manole, Laura Diosan Abstract Our research focuses on creating a framework for extracting 3D deformable objects from 2D scenes. We research the possibility of using multiple graph convolutional operators and depth estimators to extract the object, while also using predefined segmentation masks for the objects in the…
VISIGRAPP Authors Andrei-Robert Alexandrescu, Alexandru Manole, L. Dioşan Abstract Railway switches represent the mechanism which slightly adjusts the rail blades at the intersection of two rail tracks in order to allow trains to exchange their routes. Ensuring that the switches are correctly set represents a critical task. If switches are not correctly set, they…
