3 papers
eess.SY2026
Robust lane-change intention anticipation under uncertainty based on a recursive Bayesian filtering approach
Dilara Kılınç, Hendrik Kleikamp, Bruno Viti
In this paper we discuss and analyze a method for lane-change intention anticipation of drivers on highways based on kinematic features and surrounding observations. The approach m…
cs.CV2026
CONSIGN: Conformal Segmentation Informed by Spatial Groupings via Decomposition
Bruno Viti, Elias Karabelas, Martin Holler
Most machine learning-based image segmentation models produce pixel-wise confidence scores that represent the model's predicted probability for each class label at every pixel. Whi…
cs.CV2024
Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI
Bruno Viti, Franz Thaler, Kathrin Lisa Kapper +3
Segmentation of cardiac magnetic resonance images (MRI) is crucial for the analysis and assessment of cardiac function, helping to diagnose and treat various cardiovascular disease…