2 citations · 3 across the 5 of their papers we have counts for
5 papers
SAFe: Segment-guided Aggregation of Feature Densities for Anomaly-aware Segmentation
Anja Delić, Jurica Runtas, Marin Oršić +2
Visual segmentation systems encounter objects outside their training distribution during real-world deployment, hindering reliable autonomous systems that depend on scene parsing i…
RAVE: A Framework for Radar Ego-Velocity Estimation
Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2
State estimation is an essential component of autonomous systems, usually relying on sensor fusion that integrates data from cameras, LiDARs and IMUs. Recently, radars have shown t…
GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding
Karlo Koledić, Luka Petrović, Ivan Petrović +1
Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a single image, a traditionally ill-posed p…
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image
Ivan Bilić, Filip Marić, Ivan Marković +1
Autonomous manipulation systems operating in domains where human intervention is difficult or impossible (e.g., underwater, extraterrestrial or hazardous environments) require a hi…
Motion Planning in Dynamic Environments Using Context-Aware Human Trajectory Prediction
Mark Nicholas Finean, Luka Petrović, Wolfgang Merkt +2
Over the years, the separate fields of motion planning, mapping, and human trajectory prediction have advanced considerably. However, the literature is still sparse in providing pr…