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Sensors 2017, 17(11), 2645; https://doi.org/10.3390/s17112645

Visual Positioning Indoors: Human Eyes vs. Smartphone Cameras

1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology (INNOGST), Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 30 September 2017 / Revised: 3 November 2017 / Accepted: 8 November 2017 / Published: 16 November 2017
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Abstract

Artificial Intelligence (AI) technologies and their related applications are now developing at a rapid pace. Indoor positioning will be one of the core technologies that enable AI applications because people spend 80% of their time indoors. Humans can locate themselves related to a visually well-defined object, e.g., a door, based on their visual observations. Can a smartphone camera do a similar job when it points to an object? In this paper, a visual positioning solution was developed based on a single image captured from a smartphone camera pointing to a well-defined object. The smartphone camera simulates the process of human eyes for the purpose of relatively locating themselves against a well-defined object. Extensive experiments were conducted with five types of smartphones on three different indoor settings, including a meeting room, a library, and a reading room. Experimental results shown that the average positioning accuracy of the solution based on five smartphone cameras is 30.6 cm, while that for the human-observed solution with 300 samples from 10 different people is 73.1 cm. View Full-Text
Keywords: indoor positioning; smartphone; human brain; visual positioning indoor positioning; smartphone; human brain; visual positioning
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Wu, D.; Chen, R.; Chen, L. Visual Positioning Indoors: Human Eyes vs. Smartphone Cameras. Sensors 2017, 17, 2645.

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