Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction

Smart indoor tourist attractions, such as smart museums and aquariums, require a significant investment in indoor localization devices. The use of Global Positioning Systems on smartphones is unsuitable for scenarios where dense materials such as concrete and metal blocks weaken GPS signals, which i...

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Veröffentlicht in:	PloS one 2024-09, Vol.19 (9), p.e0307569
Hauptverfasser:	Hirokawa Higa, Gabriel Toshio, Stuqui Monzani, Rodrigo, da Silva Cecatto, Jorge Fernando, Balestieri Mariano de Souza, Maria Fernanda, de Moraes Weber, Vanessa Aparecida, Pistori, Hemerson, Matsubara, Edson Takashi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Aquaculture Aquariums Architecture Artificial intelligence Biology and Life Sciences Biomes Brazil Cellular telephones Classification Computational linguistics Computer and Information Sciences Concrete blocks Data mining Datasets Deep Learning Earth Sciences Engineering and Technology Evaluation Fishes Forecasts and trends Geographic Information Systems Global positioning systems GPS Humans Image Processing, Computer-Assisted - methods Indoor environments Innovations Language processing Localization Machine learning Museums Natural language interfaces Neural networks Neural Networks, Computer Smart phones Smartphone Smartphones Tourism Tourist attractions Tourists Travel industry
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