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http://hdl.handle.net/10609/138047
Title: | Contribución al desarrollo de una aplicación móvil de posicionamiento en interiores basado en luz (VLP) usando los sensores inerciales del dispositivo |
Author: | Alcázar Fernández, Aitor |
Tutor: | Perez-Navarro, Antoni |
Others: | Monzo, Carlos |
Abstract: | Positioning systems are an essential tool in the industrial and social spheres. From real-time monitoring activities to automotive navigation, systems that ensure high positioning accuracy are essential. Visible Light Positioning (VLP) offers an indoor solution in this technological field. The visible light spectrum is used to position objects in space, so that light sources are used to illuminate the environment and to integrate intelligent positioning systems. The purpose of this work is to contribute to the development of a mobile application for guidance and positioning in a museum. This application uses the camera sensors of the mobile device to detect light sources belonging to a network of intelligent light sources. Given the existence of several sources of error, this project focuses on the resolution of two of them by means of algorithms that take advantage of the inertial measurement unit of the devices. The first algorithm allows correcting the captured position of a spotlight, depending on the position angles of the mobile device. The second uses an inertial navigation system to predict the user's course when a spotlight is not captured. The results obtained with these algorithms show that the accuracy of the user's positioning is increased, as well as the naturalness of the user's movement. Furthermore, these algorithms can be implemented in other existing VLP solutions. |
Keywords: | smartphone Android telecommunication |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | 13-Jan-2022 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Trabajos finales de carrera, trabajos de investigación, etc. |
Files in This Item:
File | Description | Size | Format | |
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aitoralcazarTFM0122memoria.pdf | Memoria del TFM | 2,5 MB | Adobe PDF | View/Open |
aitoralcazarTFM0122presentación.pdf | Presentación del TFM | 1,11 MB | Adobe PDF | View/Open |
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