STEPS: An Indoor Navigation Framework for Mobile Devices

This paper presents a vision-based navigation system designed for indoor localization. The suggested framework works as a standalone [Formula: see text] positioning system by fusing a sophisticated optical-flow pedometry with map constrains using an advanced particle filter. The presented method req...

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Detalles Bibliográficos
Autores principales: Landau, Yael, Ben-Moshe, Boaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411820/
https://www.ncbi.nlm.nih.gov/pubmed/32679698
http://dx.doi.org/10.3390/s20143929
Descripción
Sumario:This paper presents a vision-based navigation system designed for indoor localization. The suggested framework works as a standalone [Formula: see text] positioning system by fusing a sophisticated optical-flow pedometry with map constrains using an advanced particle filter. The presented method requires no personal calibration and works on standard smartphones with relatively low energy consumption. Field experiments on Android smartphones show that the expected [Formula: see text] error is about 1–2 m in most real-life scenarios.

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