Student projects and final assingments

Final work under mentorship: dr. Dušan Gleich, dr. Rajko Svečko, dr. Andrej Sarjaš

Description: The purpose of this master's thesis is to establish an RTK system that will be able to operate in three different modes and develop a user interface that will mark the desired area, generate the shortest path and display the current coordinates of the RTK receiver in real time. The master's thesis is divided into two parts. The first part shows in full the process of configuring RTK devices, setting up a base station, transmitting RTK correction via radio communication and using the UBX protocol. The second part presents the process of creating a user interface with the most important sections of the algorithm, the implementation of the ROS system and the results of field measurements.

Description: The master's thesis is based on the processing of satellite images and the use of deep convolutional neural networks. The content of the final work describes research work in the field of polarimetric SAR. The purpose of the work is to design and manufacture a system that could be able to process a satellite image so that soil moisture can be determined from it. Deep convolutional neural networks were used to evaluate this, which proved to be very useful. Polarimetric programs such as PolSARpro and SNAP were used in the fabrication process. The Python programming language in the Visual Studio environment was used to further process the images and design the deep convolutional neural network.

Description: The master's thesis describes and presents the process of face detection and recognition using radar and laser technology. The first part describes the operation of the radar and presents the procedures for placing targets in the visible area of the radar and processing signals to obtain the final image. The second part shows the process of capturing images of detected faces with Kinect and learning the model with the Siamese Neural Network for face recognition. The conclusion presents the results of research and verification of the detection and recognition of the face with radar and Kinect.

Description: The aim of the master's thesis is the perception of respiration and heart rate. We used radar technology in three different ways of transmitting and receiving EM waves. For all three modes of operation, we gave a theoretical starting point and performed measurements. The modes of operation we used are frequency modulated continuous, frequency stepped continuous and pulse. Finally, based on the measurements, we assessed the suitability of each mode of operation and the radar on which it is implemented. Signal processing for all systems was performed in the MATLAB software environment.

Description: The master's thesis deals with the issue of finger recognition, with the help of which we can manage a variety of tasks and processes in the background. The work is designed as a presentation of solving the same problem using two different approaches and a presentation of their strengths and weaknesses. Using the technology of finding a pattern in the picture, we tackled the problem in a direct way and looked for the feature in the picture, with the help of which we also understood the desired gesture of hands and fingers from the picture. Using deep learning technology, we left the search for characteristics to artificial intelligence, but in the beginning we needed a large base of already solved recognition cases. The findings from this work provide good starting points for all researchers and engineers in the further research and implementation of image recognition systems based on machine vision technology or deep learning.

Description: The final paper describes the control of the float in the air levitation system with the implementation of two different control algorithms on a remote computer and the effects of network control on the implementation of the controller. The content of the thesis includes a description of the components of air levitation, mathematical modeling, implementation of simulation with Matlab / Simulink software package, implementation of PID controller and controller based on sliding mode. The work includes a comparison of management in network and non-network mode of closed-loop management. The aim of the task is to design the regulators so that they will be able to control the system via the UDP communication protocol with delays.