Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ligocki, Adam"'
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 the number of incoming and outcoming bees, which could be used to fur
Externí odkaz:
http://arxiv.org/abs/2406.08898
Autor:
Ligocki, Adam
Disertace se zabývá aplikaci neuronových sítí pro detekci objektů na multimodální data v robotice. Celkem cílí na tři oblasti: tvorbu datasetu, zpracování multimodálních dat a trénování neuronových sítí. Nejdůležitější čás
Externí odkaz:
http://www.nusl.cz/ntk/nusl-454982
Publikováno v:
Journal of Open Research Software 2021
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 such as vectors, line segments, quaternions, rigid transformations, e
Externí odkaz:
http://arxiv.org/abs/2107.00324
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 recent work - the Brno Urban Dataset (BUD). The new data focus on winter
Externí odkaz:
http://arxiv.org/abs/2106.02952
Autor:
Bilik, Simon, Kratochvila, Lukas, Ligocki, Adam, Bostik, Ondrej, Zemcik, Tomas, Hybl, Matous, Horak, Karel, Zalud, Ludek
Publikováno v:
Sensors, 21-8 (2021), 2764-2780
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 spread. Here we present an object detector based method for health stat
Externí odkaz:
http://arxiv.org/abs/2103.03133
Publikováno v:
ELECTRO 2022
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 platform for building up a robust 3D model of the agent's surrounding environ
Externí odkaz:
http://arxiv.org/abs/2010.11991
Publikováno v:
2020 IEEE International Conference on Robotics and Automation (ICRA)
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, the demands of researchers and technical possibilities are evolving. Th
Externí odkaz:
http://arxiv.org/abs/1909.06897
Autor:
Ligocki, Adam
Tato diplomová práce se zabývá tvorbou fúze pozičních dat z existující realtimové im- plementace vizuálního SLAMu a kolové odometrie. Výsledkem spojení dat je potlačení nežádoucích chyb u každé ze zmíněných metod měření, d
Externí odkaz:
http://www.nusl.cz/ntk/nusl-316270
Autor:
Ligocki, Adam, Jelínek, Aleš
Publikováno v:
In IFAC PapersOnLine 2019 52(27):7-12
Autor:
Ligocki, Adam1 (AUTHOR) adam.ligocki@vutbr.cz, Jelinek, Ales2 (AUTHOR) ales.jelinek@vutbr.cz, Zalud, Ludek1 (AUTHOR) zalud@feec.vutbr.cz, Rahtu, Esa3 (AUTHOR) esa.rahtu@tuni.f
Publikováno v:
Sensors (14248220). 2/15/2021, Vol. 21 Issue 4, p1-23. 23p. 5 Color Photographs, 3 Black and White Photographs, 4 Diagrams, 6 Charts, 2 Graphs.