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, Álvaro, De La Llana Calvo, lazaro galilea, jose luis, Perez-Navarro, Antoni, Gil Vera, Rubén, Gardel, Alfredo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/151001
Acceso en línea:http://hdl.handle.net/10609/151001
http://doi.org/10.1109/JSEN.2024.3368169
Access Level:acceso abierto
Palabra clave:sensors
receivers
cameras
mobile handsets
mobile applications
signal processing algorithms
sensor phenomena and characterization
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.