Seamless mobile indoor navigation with VLP-PDR

This study unveils a mobile app-based indoor positioning system (IPS) tailored for seamless museum navigation. Leveraging smartphone inertial measurement unit (IMU) sensors, it incorporates a pedestrian dead reckoning (PDR) algorithm and a visible light positioning (VLP) beacon-based angle of arriva...

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Detalles Bibliográficos
Autores: Alcázar Fernández, Aitor|||0000-0002-1297-8343, Llana Calvo, Álvaro de la|||0000-0002-8889-0452, Lázaro Galilea, José Luis|||0000-0001-5048-7134, Pérez Navarro, Antoni, Gil Vera, Rubén|||0000-0002-5579-6718, Gardel Vicente, Alfredo|||0000-0001-7887-4689
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/65420
Acceso en línea:http://hdl.handle.net/10017/65420
https://dx.doi.org/10.1109/JSEN.2024.3368169
Access Level:acceso abierto
Palabra clave:Android angle of arrival (AoA)
Inertial measurement unit (IMU)
Smartphone
Visible light positioning (VLP)
Electrónica
Electronics
Descripción
Sumario:This study unveils a mobile app-based indoor positioning system (IPS) tailored for seamless museum navigation. Leveraging smartphone inertial measurement unit (IMU) sensors, it incorporates a pedestrian dead reckoning (PDR) algorithm and a visible light positioning (VLP) beacon-based angle of arrival (AoA) algorithm for precise user positioning relative to smart light sources. In standalone mode, the VLP AoA-based algorithm demonstrates reliability with a mean error of 10.64 cm, while the PDR algorithm, operating independently, exhibits mean error of 3 m influenced by environmental factors. Integration of both algorithms proves crucial in mitigating cumulative errors. By updating PDR deviations with the precision provided by the VLP AoA-based solution, the entire system minimizes its mean error to 0.85 m. The user-friendly interface not only enriches visitor experiences with contextual information but also enables intuitive navigation without continuous internet connectivity. This innovative solution caters to the critical demand for precise indoor navigation, particularly in museum environments, fostering increased user acceptance and utilization.

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