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Infrastructure for Testing and Deployment of the Real-Time Localization Platform
Ormoš, Michal ; Pluskal, Jan (referee) ; Veselý, Vladimír (advisor)
Táto práca je prípadovou štúdiou postupného vývoja a nasadzovania lokačného softwaru v reálnom čase. Cieľom tejto práce je zrýchliť tento proces. Zvolený problém bol vyriešený s konvenčnými testovacími nastrojmi, vlastným nástrojom pre generovanie sieťovej prevádzky lokalizačnej platformy a nástrojmi CI/CD Gitlab. Prínosom tejto práce je zrýchlenie vývoja, zaručenie kvality vyvijaného softwaru a predstavenie spôsobu ako platformu pre lokalizáciu v reálnom čase testovať.
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Material Position Tracking For Manufacturing
Plant
Sládeček, Michal
This article 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. Final positioning data are then collected for further data analysis aiming to improve efficiency of manufacturing processes.
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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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Device localization using BLE packets
Tsevelnyam, Amgalanbayar ; Číž, Radim (referee) ; Sysel, Petr (advisor)
Master’s thesis is about indoor localization of objects or persons using Bluetooth Low Energy. The outcome of this work is determining the accuracy of a localization method One Nearest Zone on density of the localization network, implementing the Trilateration method and also determining the accuracy of this localization method on density of the localization network.
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Indoor positioning systems, implementation and realization
Strnad, Pavel ; Bruckner, Tomáš (advisor) ; Pavlíček, Luboš (referee)
Bachelor thesis deals with the topic of localization inside buildings. The first part deals with the technologies and systems used for localization, while explaining the basic princi-ples and problems of implementation of these systems, their benefits and disadvantages. This section explains the functionality of each technology and the purpose for which it is best suited. The next part deals with the actual implementation of the localization system Redpin within the campus of the University of Economics in Prague. This section summarizes basic information about the project Redpin, then there is dismantled architecture of the system and its functionality. The remaining part is devoted to the direct implementation of this system. There are specified used technologies, decommissioned installation process and eventually re-evaluated results of its testing.
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Multiple Indoor Robot Localization Using Infrared Beacons
Krejsa, Jiří ; Věchet, Stanislav ; Chen, K.-S.
Mobile robot localization based on active artificial landmarks is well established robust technique in indoor mobile robotics. This paper explores the extension of the method to multiple robot localization, with the key idea of using the robots themselves as the artificial landmarks, supplying other robots in the group with its estimate of position. The method uses nonlinear version of Kalman filter for determination of position estimate in 2D space, x-y coordinates and angle with respect to global coordinate system, with the estimate represented by mean values and corresponding covariances. Simulation results based on model well verified with the real system suggest that while only small reduction of number of fixed active landmarks can be achieved, the main advantage of the method is in increased robustness of localization technique with respect to obscured landmarks fields of view.
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