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Augmented Reality for Mobile Devices for Precise Urban Navigation
Murín, Michal ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
Diplomová práce je zaměřená na rozšířenou realitu a její realizaci pro mobilní platformu Android. V teoretické části je kladen důraz na obeznámení se s principy rozšířené reality, možnostmi její realizace pro mobilní platformu Android, která je také podrobněji představena. V praktické části se dále zaměřuje na návrh a realizaci knihovny a aplikace využívající tuhle knihovnu pro tvorbu rozšířené reality na platformě Android pomocí GPS a polohových senzorů. Aplikace slouží jako navigace a zobrazuje cestu ke konkrétnímu cíly, jak v podobě rozšířené reality, tak i na klasické dvourozměrné mapě. Práce podrobně popisuje navrhované řešení knihovny a aplikace a jejich implementaci. Nakonec popisuje testování, zhodnocuje dosažené výsledky a diskutuje nedostatky výsledného řešení a možnosti jeho vylepšení, respektive rozšíření.
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Recognition of vehicles using signals sensed by smartphone
Nevěčná, Leona ; Vítek, Martin (referee) ; Smíšek, Radovan (advisor)
Thanks to the development in recent years, the placement of miniaturized sensors such as accelerometers, gyroscopes, magnetometers, global positioning system receivers (GPS), microphones or others to commercially sold smartphones is increasing. Use of these sensors (which are to be found in the smartphone) for human activity recognition with health care improvement in mind is a discussed theme. Advantages of the use of smartphone for human movement monitoring lies in the fact that it is a device that the person measured carries with them and there are no additional costs. The disadvantages are a limited storage and battery. Therefore, only accelerometer, gyroscope, magnetometer, and microphone were chosen because their combination achieves best results. GPS sensor was excluded for its lack of reliability in sampling and for being energy demanding. Features were computed from the measured data and used for learning of the classification model. The highest accuracy was achieved with the use of a machine learning method called Random Forest. The main goal of this work was to create an algorithm for transportation mode recognition using signals sensed by a smartphone. The created algorithm succeeds in classification of walk, car, bus, tram, train, and bike in 97.4 % with 20 % holdout validation. When tested on a new set of data from the tenth volunteer, the resulting accuracy counted as average form classification recall for each transportation mode reached 90.49 %.
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Hybrid Control System for Quadrocopter
Sojka, Stanislav ; Mlích, Jozef (referee) ; Dittrich, Petr (advisor)
This thesis deals with the design and theoretical description of the hybrid control system for quadrocopter. First, a mathematical model is presented, sensors needed for development and their principles. This work shows the system architecture design and scheme of communication channels between the blocks. Implementation section discusses specific uses of computing nodes/sensors and their settings. In this thesis there are illustrated messages sent between computing nodes and the control loop machine. It also describes how to test the sensors, measurement results and techniques for improvement.
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Material position tracking in production hall
Sládeček, Michal ; Otáhal, Alexandr (referee) ; Hejátková, Edita (advisor)
This diploma thesis describes implementation of an indoor positioning system for tracking the location and movement of material and products through the manufacturing plant. The system is designed with regards to simple installation and low overall implementation costs. It utilizes method of Wi-Fi and magnetic field fingerprinting. The system employs a client hardware (active tag with Wi-Fi module and sensors designed for this project) communicating with a server software which does the mapping and fingerprinting processing. Finall positioning system is prepared to collect locations data for further analysis aiming to improve efficiency of manufacturing processes.
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3D controller
Hrubý, Lukáš ; Fujcik, Lukáš (referee) ; Bohrn, Marek (advisor)
The following work deals with problems of scanning of device position in space, processing of collected data about its position and sending these data to end device. In scope of this work will be created special controller which will use accelerometer, gyroscope and magnetometer to scan its actual position in respect to Earth and it will wirelesly send its position to controlled device. Individual components for proposal will be chosen based on previous experience and available documentation.
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Řezníček, Pavel ; Dlugoš, Jozef (referee) ; Zháňal, Lubor (advisor)
This diploma thesis deals with possibility of using a mobile phone to measure vehicle dynamics and determine the accuracy of this measurement. In the research part, it is first mentioned what methods are used to produce sensors for mobile phones. Next, a description of individual sensors that can be used for vehicle dynamics measurement, the principle by which the sensors record measured values and their inaccuracies. The practical part shows with which professional device the accuracy of the mobile phone is compared, how data can be collected from both devices and how the comparison measurement was performed. This section also describes the ways in which the measured data of the mobile phone can be improve for better accuracy, and finally the comparison of the measured values from both devices from different points of view.
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9DOF module for orientation measurement
Hojdík, Matej ; Šebesta, Jiří (referee) ; Frýza, Tomáš (advisor)
This thesis deals with a design of 9DOF module for the evaluation of orientation in space. The thesis includes a theoretical description of sensors, mathematical apparatus for rotating and the Kalman filter. The practical part deals with the design of hardware, firmware and software, whereby the mathematical formulas set out in the theoretical part are applied. In the last part a testing of the created module is presented.
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Rotational Display
Konečný, Ondřej ; Šimek, Václav (referee) ; Růžička, Richard (advisor)
This thesis describes the process of hardware and software development of a rotational display, that uses accelerometer for acquisition of placement data. It explains the principle of operation of the rotational display and of the components that were used. There are discussed various ways of accelerometer usage for these purposes and there is also explained the solution of the problem of timing for the purposes of displaying. In the end the thesis summarizes the results of the development process and outlines possible future development.
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Inertial Navigation Unit
Kulka, Branislav ; Kříž, Vlastimil (referee) ; Šolc, František (advisor)
This thesis is concerned with attitude estimation of small flying robots using low cost, small-sized inertial and magnetic sensors. A quaternion-based extended Kalman filter is used, which adaptively compensates external acceleration. External acceleration is the main source of estimation error. If external acceleration is detected, the accelerometer measurement covariance matrix of the Kalman filter is adjusted. The proposed algorithms are verified through experiments. Selected algorithm is implemented on STM32F4DISCOVERY development board.
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