Desheng Zhao

Inner Mongolia University of Science and Technology

Papers

Total Citations

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About

Desheng Zhao is a leading researcher in indoor positioning systems, with a focus on visible-light communication and artificial intelligence. His work centers on developing high-accuracy, three-dimensional positioning technologies for robotic and autonomous systems, leveraging deep learning to overcome the limitations of traditional indoor navigation. His most cited paper, "Indoor Visible-Light 3D Positioning System Based on GRU Neural Network" (2023), with 20 citations, introduces a novel approach that uses Gated Recurrent Unit (GRU) neural networks to significantly enhance positioning precision in complex indoor environments. This work addresses a critical challenge in robotics—achieving reliable, real-time localization without GPS. Zhao’s contributions are notable for integrating AI with visible-light positioning (VLP), a cost-effective and energy-efficient alternative to radio-frequency systems. His research has direct implications for smart factories, warehouses, and autonomous vehicle navigation, positioning him as an innovator at the intersection of optical wireless communication and machine learning. His achievements underscore a commitment to advancing practical, AI-driven solutions for indoor spatial awareness.