10 July 2021 Artificial neural network-embedded millimeter-level 3D positioning system with single LED and monitoring camera
Xiaoyun Li, Dahai Han, Shuang Zhao, Qing Li, Min Zhang
Author Affiliations +
Abstract

We propose an artificial neural network-embedded visible light positioning (VLP) scheme based on a conventional monitoring system in which the transmitter and receiver comprise a single illuminating LED and two standard surveillance cameras, respectively. Experimental results show that this simple system achieved millimeter-level positioning accuracy and exhibited good antitilt ability and robustness. The VLP system achieved high-precision three-dimensional positioning with a mean positioning error (MPE) of 0.76 cm, even if the object was inclined at different angles. Moreover, the MPEs of the single-light system were only 0.65 and 0.67 cm when the tilt angle was 15 deg and −15  deg, respectively. This scheme is a low-cost solution for accurate positioning that could be applied in marine vessel operations, mining operations, shopping center, supermarket, factories, and warehouses where monitoring systems presently exist.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2021/$28.00 © 2021 SPIE
Xiaoyun Li, Dahai Han, Shuang Zhao, Qing Li, and Min Zhang "Artificial neural network-embedded millimeter-level 3D positioning system with single LED and monitoring camera," Optical Engineering 60(7), 076103 (10 July 2021). https://doi.org/10.1117/1.OE.60.7.076103
Received: 17 March 2021; Accepted: 28 June 2021; Published: 10 July 2021
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Light emitting diodes

Cameras

Artificial neural networks

Imaging systems

Neural networks

Neurons

Optical engineering

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