Optical camera communications and machine learning for indoor visible light positioning

In this dissertation, a 3D indoor visible light positioning system based on machine learning and optical camera communications is presented. The system uses LED (light-emitting diode) luminaires as reference points and a rolling shutter complementary metal-oxide semiconductor (CMOS) sensor as the re...

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Detalhes bibliográficos
Autor principal: Pereira, Celso Daniel Santos (author)
Formato: masterThesis
Idioma:eng
Publicado em: 2022
Assuntos:
Visible light positioning
Indoor positioning system
Three-dimensional positioning
CMOS image sensor
Rolling shutter
Perspective-n-Point
Machine learning
Convolutional neural network
YOLO
Texto completo:http://hdl.handle.net/10773/33645
País:Portugal
Oai:oai:ria.ua.pt:10773/33645

Texto Completo

http://hdl.handle.net/10773/33645

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