30 citations · 35 across the 4 of their papers we have counts for
8 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…
An Active Inference Model of Covert and Overt Visual Attention
Tin Mišić, Karlo Koledić, Fabio Bonsignorio +2
The ability to selectively attend to relevant stimuli while filtering out distractions is essential for agents that process complex, high-dimensional sensory input. This paper intr…
Impact of Temporal Delay on Radar-Inertial Odometry
Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2
Accurate ego-motion estimation is a critical component of any autonomous system. Conventional ego-motion sensors, such as cameras and LiDARs, may be compromised in adverse environm…
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion
Karlo Koledić, Luka Petrović, Ivan Marković +1
Generalizing metric monocular depth estimation presents a significant challenge due to its ill-posed nature, while the entanglement between camera parameters and depth amplifies is…
Euclidean Equivariant Models for Generative Graphical Inverse Kinematics
Oliver Limoyo, Filip Marić, Matthew Giamou +3
Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for robotic manipulation. Existing numerical solvers typically produce a singl…
Recalibrating the KITTI Dataset Camera Setup for Improved Odometry Accuracy
Igor Cvišić, Ivan Marković, Ivan Petrović
Over the last decade, one of the most relevant public datasets for evaluating odometry accuracy is the KITTI dataset. Beside the quality and rich sensor setup, its success is also…
Convex Iteration for Distance-Geometric Inverse Kinematics
Matthew Giamou, Filip Marić, David M. Rosen +4
Inverse kinematics (IK) is the problem of finding robot joint configurations that satisfy constraints on the position or pose of one or more end-effectors. For robots with redundan…
Riemannian Optimization for Distance-Geometric Inverse Kinematics
Filip Marić, Matthew Giamou, Adam W. Hall +3
Solving the inverse kinematics problem is a fundamental challenge in motion planning, control, and calibration for articulated robots. Kinematic models for these robots are typical…