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Landmark Graph-Based Indoor Localization
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DOI：10.1109/JIOT.2020.2989501.png)
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Abstract
En 中文
Indoor localization is important for a variety of applications, such as location-based services, mobile social networks, and emergency response. Fusing spatial information is an effective way to achieve accurate indoor localization with little or with no need for extra hardware. However, the existing indoor localization methods that make use of spatial information are either computationally expensive or sensitive to the completeness of landmarks. In this article, we propose a novel, low-cost, high-accuracy indoor localization method based on a landmark graph. The experimental results show that the proposed method outperforms the state-of-the-art methods.
Keywords:
Wireless fidelity
Hidden Markov models
Sensors
Smart phones
Internet of Things
Fingerprint recognition
Calibration
Indoor positioning
landmarks
location-based services
pedestrian dead reckoning (PDR)
smartphones
spatial information
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