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Automatic environment generator design for mobile robot
Schreiber, Petr ; Krejsa, Jiří (referee) ; Věchet, Stanislav (advisor)
This work deals with design and realization of automatic environment generator, serving for autonomous robot simulations. The author describes various approaches to implementation of interior environment generator and their relation to Open Dynamics Engine physics library and XODE file format. This work also includes verification of generator functionality with participation of virtual mobile robot.
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Road detection in outdoor environment using image processing
Vrbičanová, Antónia ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
The Master’s thesis deals with the issue of the road detection in the outdoor environment using image processing. It is highly required that the methods selected are robust to sudden light changes within the image and effective in detection of wide variety of road surfaces possibly comprising certain kinds of pollution. Two methods have been used in order to reach the desired goal. The initial method uses standard algorithms of the image processing. Main outcome of this method are highlighted road boundaries. The following methodisbasedonconvolutionalneuralnetworks.Inthiscasewehaveclassificationtask. The result of this method is the estimation of the road direction. In the whole process, severalneuralnetworkstructureshavebeendesigned.Afterthenetworktrainingthemost suitable one was selected. Eventually, the results have been retested using newly created test set. Both of these methods are implemented in programming language Python.
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Automatic detection of elevator controls using image processing
Černil, Martin ; Šnajder, Jan (referee) ; Krejsa, Jiří (advisor)
This thesis deals with the automatic detection of elevator controls in personal elevators through digital imaging using computer vision. The theoretical part of the thesis goes through methods of image processing with regards to object detection in image and research of previous solutions. This leads to investigation into the field of convolutional neural networks. The practical part covers the creation of elevator controls image dataset, selection, training and evaluation of the used models and the implementation of a robust algorithm utilizing the detection of elevator controls. The conclussion of the work discusses the suitability of the detection on given task.
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Visual odometry for robotic vehicle Car4
Szente, Michal ; Krejsa, Jiří (referee) ; Najman, Jan (advisor)
This thesis deals with algorithms of visual odometry and its application on the experimental vehicle Car4. The first part contains different researches in this area on which the solution process is based. Next chapters introduce theoretical design and ideas of monocular and stereo visual odometry algorithms. The third part deals with the implementation in the software MATLAB with the use of Image processing toolbox. After tests done and based on real data, the chosen algorithm is applied to the vehicle Car4 used in practical conditions of interior and exterior. The last part summarizes the results of the work and address the problems which are asociated with the application of visual obmetry algorithms.
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Design of fixed-wing UAV autopilot
Němeček, Jakub ; Růžička, Michal (referee) ; Krejsa, Jiří (advisor)
This thesis describe approaches for autopilots for small unmanned aerial vehicles. Part of thesis is implementation of autopilot in Matlab/Simulink. The goal is to control computation model of the aircraft. Main part of thesis desribes high layer of control and navigation with focus on trajectory planning. Final algorithm is based on following the reference point between the aircraft and waypoint. Algorithm solves special positions of waypoints and error flag.
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2D Point-cloud segmentation for curve fitting
Šooš, Marek ; Krejsa, Jiří (referee) ; Králík, Jan (advisor)
The presented diploma thesis deals with the division of points into homogeneous groups. The work provides a broad overview of the current state in this topic and a brief explanation of the main segmentation methods principles. From the analysis of the articles are selected and programmed five algorithms. The work defines the principles of selected algorithms and explains their mathematical models. For each algorithm is also given a code design description. The diploma thesis also contains a cross comparison of segmentation capabilities of individual algorithms on created as well as on measured data. The results of the curves extraction are compared with each other graphically and numerically. At the end of the work is a comparison graph of time dependence on the number of points and the table that includes a mutual comparison of algorithms in specific areas.
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QR code detection under ROS implemented on the GPU
Hurban, Milan ; Věchet, Stanislav (referee) ; Krejsa, Jiří (advisor)
Tato diplomová práce se zabývá vývojem a implementací algoritmu pro detekci QR kódů s integrací do platformy ROS a výpočty běžícími na grafické kartě. Z rešerše současně dostupných nástrojů a technik je vybrán vhodný postup a algoritmus je napsán jako modul v programovacím jazyce Python, který je snadno integrovatelný do ROS. Ke zprostředkování výpočtů na vícejádrovém hardware, jako jsou grafické karty či vícejádrové procesory, je využita knihovna OpenCL.
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Measuring unit for race swimmers motion analysis
Kumpán, Pavel ; Hrbáček, Jan (referee) ; Krejsa, Jiří (advisor)
The master’s thesis deals with a design of the computational method for the analysis of swimmers training with the use of an inertial measurement unit. The developed algorithm uses quaternion-based Unscented Kalman filter and merges accelerometer and gyroscope measurements. The proposed method enables analysis of velocity, acceleration and inclination of a swimmer. Verification of the method was based on an underwater video camera capturing and a tethered velocity meter.
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Detection and recognition of speed limit road signs
Solnický, Vojtěch ; Krejsa, Jiří (referee) ; Grepl, Robert (advisor)
This master‘s thesis describes the design and implementation of the system for detection and recognition of speed limit road signs. It focuses on the recognition of the red circular speed limit sign from the image data using the computer vision methods. Several methods were programmed and tested as a part of this thesis. In the final solution, the segmentation based on YCbCr color model is used. Detection of the circular sign and final classification is performed by template matching method. Algorithm for the tracking of the detected signs between frames of the video is used for better performance in real-time recognition. Application is developed using MATLAB and Simulink. The result is a simple driver assistance system prototype, which can be implemented in any computer with camera. The correct function of the algorithm was confirmed during a testing in a traffic.
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