activity
20172020
most citedOn wrapping the Kalman filter and estimating with the SO(2) group

11 citations · 34 across the 4 of their papers we have counts for

collaborators

11 papers

cs.RO20203 cited

Human Intention Recognition for Human Aware Planning in Integrated Warehouse Systems

Tomislav Petković, Jakub Hvězda, Tomáš Rybecký +4

With the substantial growth of logistics businesses the need for larger and more automated warehouses increases, thus giving rise to fully robotized shop-floors with mobile robots…

cs.RO2019

Inverse Kinematics for Serial Kinematic Chains via Sum of Squares Optimization

Filip Maric, Matthew Giamou, Soroush Khoubyarian +2

Inverse kinematics is a fundamental problem for articulated robots: fast and accurate algorithms are needed for translating task-related workspace constraints and goals into feasib…

cs.RO2019

Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization

Filip Marić, Oliver Limoyo, Luka Petrović +3

A significant challenge in manipulation motion planning is to ensure agility in the face of unpredictable changes during task execution. This requires the identification and possib…

cs.RO2019

Stereo Event Lifetime and Disparity Estimation for Dynamic Vision Sensors

Antea Hadviger, Ivan Marković, Ivan Petrović

Event-based cameras are biologically inspired sensors that output asynchronous pixel-wise brightness changes in the scene called events. They have a high dynamic range and temporal…

cs.CV2019

Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings

Borna Bićanić, Marin Oršić, Ivan Marković +2

This paper studies the interplay between kinematics (position and velocity) and appearance cues for establishing correspondences in multi-target pedestrian tracking. We investigate…

cs.RO201910 cited

Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking

Juraj Peršić, Luka Petrović, Ivan Marković +1

Perception is one of the key abilities of autonomous mobile robotic systems, which often relies on fusion of heterogeneous sensors. Although this heterogeneity presents a challenge…