27 citations · 49 across the 14 of their papers we have counts for
19 papers
Viking Hill Dataset: A Lidar-Radar-Camera Dataset for Detection and Segmentation in Forest Scenes
Vladimír Kubelka, Oleksandr Kotlyar, Unal Artan +1
Autonomous robots operating under forest canopies need robust perception of trees and surrounding vegetation across varying seasonal conditions. Existing forestry datasets provide…
Neural Surface and Reflectance Modelling from 3D Radar Data
Judith Treffler, Vladimír Kubelka, Henrik Andreasson +1
Robust scene representation is essential for autonomous systems to safely operate in challenging low-visibility environments. In these conditions, radar has a clear advantage over…
Introspective Loop Closure for SLAM with 4D Imaging Radar
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson +3
Simultaneous Localization and Mapping (SLAM) allows mobile robots to navigate without external positioning systems or pre-existing maps. Radar is emerging as a valuable sensing too…
Towards introspective loop closure in 4D radar SLAM
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson +2
Imaging radar is an emerging sensor modality in the context of Localization and Mapping (SLAM), especially suitable for vision-obstructed environments. This article investigates th…
4D Radar Semantic Segmentation of People in Field Conditions Using Temporal Multi-View Networks
Mikael Skog, Oleksandr Kotlyar, Vladimír Kubelka +1
Reliable people detection is crucial for the safe autonomy of mobile robots and heavy vehicles, both on roads and in industrial settings like mining and construction. However, comm…
Do we need scan-matching in radar odometry?
Vladimír Kubelka, Emil Fritz, Martin Magnusson
There is a current increase in the development of "4D" Doppler-capable radar and lidar range sensors that produce 3D point clouds where all points also have information about the r…