Fusion of magnetic and WiFi fingerprints for indoor positioning

Campeón, Juan Pablo Grisales; Lopez, Sergio G.; Melean, S. R. de Jesus; Moldovan, H.; Parisi, Daniel R.; Fierens, Pablo Ignacio

doi:10.1109/cacidi.2018.8584369

Cited by 2 publications

(1 citation statement)

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“…Therefore, the best solution would be a technology fusion positioning system, which combines different technologies to complement each other. Based on [14], the fusion technique of combining Wi-Fi and magnetic field signals provides median accuracy of 1.20 meters, which is better than solely Wi-Fi. Furthermore, the technique proposed in [15] with the integration of Wi-Fi and magnetic field can reliably achieve 0.836 meters of accuracy in the experimental environment.…”

Section: A Indoor Positioning Techniquesmentioning

confidence: 99%

Design of a Mobile Augmented Reality-based Indoor Navigation System

Lim

2020

2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

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GPS-based navigation technology has been widelyused in most of the commercial navigation applications nowadays. However, its usage in indoor navigation is not as effective as when it is used at outdoor environment. Much research and developments of indoor navigation technology involve additional hardware installation which usually incur high setup cost. In this paper, research and comparisons were done to determine the appropriate techniques of indoor positioning, pathfinding, and route guidance for an indoor navigation method. The aim of this project is to present a simple and costeffective indoor navigation system. The proposed system uses the existing built-in sensors embedded in most of the mobile devices to detect the user location, integrates with AR technology to provide user an immersive navigation experience. In this project, an indoor navigation mobile application was developed and tested. The development demonstrates the usage of IndoorAtlas which enables indoor positioning through technology fusion to detect user's position and obtain the route to destination, and ARCore to display AR guidance using the computed route. Surveys were carried out to gauge the efficiency of the method and to gather the feedback from the participants. The architecture of the method and the demonstration of the application is presented.

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Section: A Indoor Positioning Techniquesmentioning

confidence: 99%