37 citations · 126 across the 10 of their papers we have counts for
14 papers
A Continuous-Time Approach for 3D Radar-to-Camera Extrinsic Calibration
Emmett Wise, Juraj Peršić, Christopher Grebe +2
Reliable operation in inclement weather is essential to the deployment of safe autonomous vehicles (AVs). Robustness and reliability can be achieved by fusing data from the standar…
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…
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…
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…
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…
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…
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…
Computationally efficient dense moving object detection based on reduced space disparity estimation
Goran Popović, Antea Hadviger, Ivan Marković +1
Computationally efficient moving object detection and depth estimation from a stereo camera is an extremely useful tool for many computer vision applications, including robotics an…
Human Intention Recognition in Flexible Robotized Warehouses based on Markov Decision Processes
Tomislav Petković, Ivan Marković, Ivan Petrović
The rapid growth of e-commerce increases the need for larger warehouses and their automation, thus using robots as assistants to human workers becomes a priority. In order to opera…
Dense Disparity Estimation in Ego-motion Reduced Search Space
Luka Fućek, Ivan Marković, Igor Cvišić +1
Depth estimation from stereo images remains a challenge even though studied for decades. The KITTI benchmark shows that the state-of-the-art solutions offer accurate depth estimati…
Mixture Reduction on Matrix Lie Groups
Josip Cesic, Ivan Markovic, Ivan Petrovic
Many physical systems evolve on matrix Lie groups and mixture filtering designed for such manifolds represent an inevitable tool for challenging estimation problems. However, mixtu…
On wrapping the Kalman filter and estimating with the SO(2) group
Ivan Markovic, Josip Cesic, Ivan Petrovic
This paper analyzes directional tracking in 2D with the extended Kalman filter on Lie groups (LG-EKF). The study stems from the problem of tracking objects moving in 2D Euclidean s…
Moving object tracking employing rigid body motion on matrix Lie groups
Josip Cesic, Ivan Markovic, Ivan Petrovic
In this paper we propose a novel method for estimating rigid body motion by modeling the object state directly in the space of the rigid body motion group SE(2). It has been recent…
Global Localization Based on 3D Planar Surface Segments
Robert Cupec, Emmanuel Karlo Nyarko, Damir Filko +2
Global localization of a mobile robot using planar surface segments extracted from depth images is considered. The robot's environment is represented by a topological map consistin…