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Analytical Dashboard for Indoor Locating System
Petrovič, Lukáš ; Ščuglík, František (referee) ; Veselý, Vladimír (advisor)
The main purpose of this work is to create an application which will provide visualisation of historical data from position sensors. The data are being obtained from closed spaces, for example shops, gymnasiums or halls. These data are valuable but without easily usable visualisation they will lose their potential. Right visualisation allows user to better evaluate situation which the data represents. Result of this work is a tool with which the user is able to easily analyse data gained in certain time interval. For the needs of analysis, the application provides various kinds of data representations, which assign the data specific purpose. Data might be presented in graphs for example for the purpose of representation of the total overcomed distance of monitored object. They can also be used in maps which provide good representation of positions due to monitored area. All created visualization elements are put into interactive blocks. These blocks make up almost whole control panel. It is easy to manipulate with these blocks and to edit created visualisation with their help.
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Low power GPS locator
Hus, Peter ; Háze, Jiří (referee) ; Pavlík, Michal (advisor)
The aim of the work is to design a low power GPS locator which will serve as a security device for location tracking and checking vehicles status. The designed device will be able to identify unauthorised manipulation of the vehicle and warn a user through SMS message. The device will be sending some information from GPS module in case of a theft regularly. The design is focused on the lowest current consumption, wide range of operating temperatures and reliability.
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New Generation of Open-Source Tool Stranger Strings
Kňazík, Matej ; Dobeš, Petr (referee) ; Herout, Adam (advisor)
Cieľom tejto bakalárskej práce je opísať vývoj webovej aplikácie s názvom Stranger Strings. Projekt si ponechal svoje meno po internom firemnom nástroji, avšak vo všetkom ostatnom prešiel kompletnými zmenami. Účel Stranger Strings sa pozmenil, kód bol od základu prepísaný a celý projekt bol zmenený na open-source. Rovnako bolo redizajnované aj užívateľské prostredie za účelom rozšírenia cieľovej skupiny užívateľov. Táto práca podrobne popisuje tento proces a tiež vysvetľuje, akú úlohu zohralo užívateľské testovanie pri identifikácii hlavných problémov aplikácie. Výsledkom tejto práce je open-source nástroj na analýzu lokalizácie, ktorý pomáha užívateľom zlepšovať jej kvalitu.
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Automatic Detection, Localization and Extraction of Human Eye Iris
Pánik, Matúš ; Orság, Filip (referee) ; Drahanský, Martin (advisor)
This thesis is devoted to design and implementation of detector, localizator and extractor of features contained in human iris. In introduction there is a brief explanation of anatomical structure of eye as an optical organ providing a vision and there is also a summary of testing databases with a brief description of their key attributes. Furthermore, the thesis deals with theoretical analysis of the most used algorithms intended for processing images in biometric systems. The description of our own implementation follows as well as a summary of measurement we have gathered for each test database and its comparison with other commercially available variants. In the end there is a brief summary and proposal for the future improvements of the system.
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Traffic Signs Detection and Localisation
Kudláč, Ondrej ; Španěl, Michal (referee) ; Veľas, Martin (advisor)
This thesis aims to design the traffic signs detection and localization system using RGB image and 3D LiDAR data leveraging the the existing solutions. Traffic sign detection is based on the shape analysis. Then, the LIDAR data are used for the localization of previously detected signs. The created solution consists of two main components: the detector and locator, each able to operate independently.
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Detection, Localization and Determination of Chronic Wounds
Gulán, Filip ; Dvořák, Michal (referee) ; Drahanský, Martin (advisor)
The aim of this diploma thesis is to design and implement a multiplatform application for detection, localization and determination of the extent of chronic wounds. The application is intended to assist nurses, doctors and healthcare assistants to monitor and evaluate chronic wounds in the course of treatment. The application is based on the Typescript programming language, on the Ionic hybrid application framework and on the Electron desktop application framework. Chronic wound assessment runs on the server-side where the Python programming language is used. The Flask application framework is used for the RESTful application interface and the OpenCV library is used for image processing.
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Autonomous Rover Navigation on Planetary Surface
Vaško, Marek ; Prustoměrský, Milan (referee) ; Chudý, Peter (advisor)
Výskum hlbín vesmíru doviedol k vývoju technológii v rôznych oblastiach. Jednou z týchto oblastí je prieskum povrchu mimozemských planét. Efektívny spôsob skúmania je bezpilotné pozemné vozidlo. Práca sa zaoberá jedným z najdôležitejších systémov bezpilotných vozidiel, čím je autonómna navigácia. Vozidlo sa musí vedieť orientovať v priestore a zmapovať potenciálne prekážky. Práca v úvode preskúma navigačné princípy, ktoré boli využívané existujúcimi vozidlami. Neskôr preskúma využitie algoritmu na princípe súčasnej lokalizácie a mapovania a jeho implementáciu v MATLAB-e. Tento algoritmus bude integrovaný do simulátora, ktorý umožní neskoršiu integráciu do reálneho prostredia pomocou Robot Operating System. V simulátore bude navrhnutá platforma vozidla so simulovanými senzormi a šesť-kolesovým podvozkom, ktorá bude slúžiť na testovanie integrovaného algoritmu. V závere sa vyhodnotí kvalita navrhnutého algoritmu a zaháji sa diskusia o budúcich vylepšeniach.
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Predicting Trajectories of Vehicles and Pedestrians for Driving Assistent Systems
Mudroň, Marek ; Musil, Petr (referee) ; Smrž, Pavel (advisor)
This bachelor thesis deals with representation of a traffic scene by processing monocular video sequence. I try to predict a trajectory of detected vehicles in a short time horizon, based on created representation. Current approaches use multiple expensive sensors to gather instant information of environment. In the thesis I introduce technique, which is able to extract data from an environment by image processing techniques without the need of expensive sensors. The result of this work is a system creating opportunity to reduce the sensor costs of a system for scene representation and trajectory prediction of vehicles in the scene. In addition, comparison of models trained on differently processed data is provided, as well as data about how my system approximates the most reliable prediction models.
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Mobile Devices Navigated by an Intelligent Network
Barna, Andrej ; Žák, Marek (referee) ; Zbořil, František (advisor)
This work studies the problem of indoor navigation, using wireless sensor networks. The knowledge of multiagent systems is being used in the process of solving this problem. Platform WSageNt, running on the operating system TinyOS, is being used for the execution of the agents. Agents themselves on the WSageNt platform are created in the language ALLL, which is described in the process. With use of those technologies, a solution is proposed as an extension to the WSageNt plaform and three agents, which fulfill the desired functionality. Then the implementation of this solution is described, followed by its testing, stating advantages and disadvantages of the created system.
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Navigation System for Buildings on Mobile Device
Žiška, Peter ; Čadík, Martin (referee) ; Beran, Vítězslav (advisor)
This work is focused to suggest an approach, which simplifies creation of indoor navigation systems on mobile devices. The final solution is divided into two parts: an auxiliary tool for creating localization and navigation assets and mobile navigation application. The auxiliary tool creates assets needed to localize with the help of scanning surrounding access points in the place of user's standing in a building. The tool also generates navigational graph with cooperation of user and based on the geometric representation of building's rooms. The localization of a mobile device is based on WIFI fingerprinting method, which in the offline phase needs to have a map of fingerprints available. It is necessary to create this map manually. The tool will make easier for the user to create needed map and make deployment of the indoor navigation into the mobile devices more efficient.
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