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Sensors 2017, 17(11), 2645;

Visual Positioning Indoors: Human Eyes vs. Smartphone Cameras

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
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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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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