2017
DOI: 10.5194/isprs-archives-xlii-2-w7-379-2017
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The Design and Implementation of Indoor Localization System Using Magnetic Field Based on Smartphone

Abstract: Commission VI, WG VI/4 KEY WORDS: Indoor Localization; Geomagnetic Application; Localization Algorithm; Android; sensor ABSTRACT:Sufficient signal nodes are mostly required to implement indoor localization in mainstream research. Magnetic field take advantage of high precision, stable and reliability, and the reception of magnetic field signals is reliable and uncomplicated, it could be realized by geomagnetic sensor on smartphone, without external device. After the study of indoor positioning technologies, ch… Show more

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“…Indoor architecture is represented via corner based feature points obtained through a monocular camera (Celik et al, 2008). Smartphones are readily available which have a geomagnetic sensor which can be used for designing a geomagnetic positioning indoor navigation system based on Android platform (Jiaxing et al, 2017). Research topics have also explored solutions for navigation with a different perspective for evaluating the ease of wayfinding, considering 3D interactions between wayfinding behaviors and signage location, visibility, legibility, noticeability, and continuity to detect 'disorientation spots' such as forks (Maruyama et al, 2017).…”
Section: Visualization and Guidancementioning
confidence: 99%
“…Indoor architecture is represented via corner based feature points obtained through a monocular camera (Celik et al, 2008). Smartphones are readily available which have a geomagnetic sensor which can be used for designing a geomagnetic positioning indoor navigation system based on Android platform (Jiaxing et al, 2017). Research topics have also explored solutions for navigation with a different perspective for evaluating the ease of wayfinding, considering 3D interactions between wayfinding behaviors and signage location, visibility, legibility, noticeability, and continuity to detect 'disorientation spots' such as forks (Maruyama et al, 2017).…”
Section: Visualization and Guidancementioning
confidence: 99%