Visual Positioning Indoors: Human Eyes vs. Smartphone Cameras

• Main Authors: Dewen Wu, Ruizhi Chen, Liang Chen
• Format: Article
• Language: English
• Published: MDPI AG 2017-11-01
• Series: Sensors
• Subjects: indoor positioning; smartphone; human brain; visual positioning
• Online Access: https://www.mdpi.com/1424-8220/17/11/2645

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.