59 citations · 104 across the 6 of their papers we have counts for
6 papers
Computer Vision Approaches for Automated Bee Counting Application
Simon Bilik, Ilona Janakova, Adam Ligocki +2
Many application from the bee colony health state monitoring could be efficiently solved using a computer vision techniques. One of such challenges is an efficient way for counting…
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…
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…
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…
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…
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…