activity
20192023
most citedVisual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques

59 citations · 135 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023★ 1 cited

Localizing Multiple Radiation Sources Actively with a Particle Filter

Tomas Lazna, Ludek Zalud

We discuss the localization of radiation sources whose number and other relevant parameters are not known in advance. The data collection is ensured by an autonomous mobile robot t…

cs.RO2021

Brno Urban Dataset: Winter Extention

Adam Ligocki, Ales Jelinek, Ludek Zalud

Research on autonomous driving is advancing dramatically and requires new data and techniques to progress even further. To reflect this pressure, we present an extension of our rec…

cs.RO2021

Robotic Template Library

Ales Jelinek, Adam Ligocki, Ludek Zalud

Robotic Template Library (RTL) is a set of tools for dealing with geometry and point cloud processing, especially in robotic applications. The software package covers basic objects…

cs.CV2021★ 59 cited

Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques

Simon Bilik, Lukas Kratochvila, Adam Ligocki +5

The Varroa destructor mite is one of the most dangerous Honey Bee (Apis mellifera) parasites worldwide and the bee colonies have to be regularly monitored in order to control its s…

cs.RO2020★ 1 cited

Atlas Fusion -- Modern Framework for Autonomous Agent Sensor Data Fusion

Adam Ligocki, Ales Jelinek, Ludek Zalud

In this paper, we present our software sensor fusion framework for self-driving cars and other autonomous robots. We have designed our framework as a universal and scalable platfor…

cs.RO2020★ 30 cited

Using an Automated Heterogeneous Robotic System for Radiation Surveys

Petr Gabrlik, Tomas Lazna, Tomas Jilek +2

During missions involving radiation exposure, unmanned robotic platforms may embody a valuable tool, especially thanks to their capability of replacing human operators in certain t…

cs.RO2019★ 44 cited

Brno Urban Dataset -- The New Data for Self-Driving Agents and Mapping Tasks

Adam Ligocki, Ales Jelinek, Ludek Zalud

Autonomous driving is a dynamically growing field of research, where quality and amount of experimental data is critical. Although several rich datasets are available these days, t…