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Sensors 2017, 17(5), 1093;

Fusion Based on Visible Light Positioning and Inertial Navigation Using Extended Kalman Filters

School of Optoelectronics, Beijing Institute of Technology, 5 S. Zhongguancun Street, Beijing 100081, China
Authors to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 24 March 2017 / Revised: 2 May 2017 / Accepted: 9 May 2017 / Published: 11 May 2017
(This article belongs to the Section Physical Sensors)
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With the rapid development of smart technology, the need for location-based services (LBS) increases every day. Since classical positioning technology such as GPS cannot satisfy the needs of indoor positioning, new indoor positioning technologies, such as Bluetooth, Wi-Fi, and Visible light communication (VLC), have already cut a figure. VLC positioning has been proposed because it has higher accuracy, costs less, and is easier to accomplish in comparison to the other indoor positioning technologies. However, the practicality of VLC positioning is limited since it is easily affected by multipath effects and the layout of LEDs. Thus, we propose a fusion positioning system based on extended Kalman filters, which can fuse the VLC position and the inertial navigation data. The accuracy of the fusion positioning system is in centimeters, which is better compared to the VLC-based positioning or inertial navigation alone. Furthermore, the fusion positioning system has high accuracy, saves energy, costs little, and is easy to install, making it a promising candidate for future indoor positioning applications. View Full-Text
Keywords: indoor positioning; visible light fusion positioning; Kalman filter indoor positioning; visible light fusion positioning; Kalman filter

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Li, Z.; Feng, L.; Yang, A. Fusion Based on Visible Light Positioning and Inertial Navigation Using Extended Kalman Filters. Sensors 2017, 17, 1093.

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