UOLO: A Multitask U-Net YOLO Hybrid Model for Railway Scene Understanding (2025)

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…

ContRail: Realistic Railway Image Synthesis using ControlNet (2025)

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…