Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Robotic Tracking of a Person using Neural Networks
Zakarovský, Matúš ; Lázna, Tomáš (oponent) ; Žalud, Luděk (vedoucí práce)
The main goal of this thesis was to create a software solution based on a neural network to enable detection of a person and its subsequent following. This was achieved via completion of the points of the assignment. First, a hardware solution and used libraries and application programming interfaces were described as well as the robotic platform supplied by the Robotics and AI group of BUT Department of Control and Instrumentation upon which the robot was built on. Next, a research of various neural networks used for person detection was conducted. Four detectors were described in detail. Some of them were tested on either a PC or a NVIDIA Jetson Nano computer. Afterwards, a software solution consisting of five programs was created to achieve goals such as, detection of the person using ped-100 neural network, real-world position with reference to the robot estimation using monocular camera and robot control to successfully follow a target. The output of this thesis is a robotic platform able to detect and follow a person that can be used in a real-world applications.
Detekce dopravních značek pomocí metod strojového učení
Zakarovský, Matúš ; Richter, Miloslav (oponent) ; Horák, Karel (vedoucí práce)
Táto práca skúma metódy rozpoznávania dopravných značiek. Implementovaný prístup využíval strojové učenie založené na konvolučných neurónových sieťach. V rámci tejto práce bola zistená závislosť úspešnosti neurónovej siete od počtu konvolučných vrstiev.Výsledná neurónová sieť bola testovaná na datasete GTSRB a na datasete vytvoreným autorom.

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