Papers
4
Total Citations
26
H-Index
4
About
Xun Zhang is a researcher specializing in visible light positioning (VLP), autonomous robot localization, and underwater optical detection. Their work focuses on enhancing the accuracy and robustness of positioning systems in challenging environments. A key contribution is the development of a stability-optimized indoor 3D VLP algorithm that integrates attention mechanism convolutional neural networks, achieving high-precision, low-cost positioning for multimedia devices and robots (2024, 7 citations). Zhang also advanced outdoor localization for car-like robots through a dynamic ICSP graph optimization approach, improving probabilistic filtering techniques (2019, 7 citations). In underwater robotics, they pioneered a recognition method for submarine cable detection using optical imaging, addressing challenges like scattering and noise (2019, 7 citations). Additionally, Zhang contributed to experimental indoor tracking testbeds based on visible light communication, demonstrating practical applications in security and business (2019, 5 citations). With multiple papers garnering early citations, Zhang’s work bridges theoretical optimization and real-world deployment, making significant strides in intelligent systems for indoor navigation, autonomous vehicles, and marine infrastructure inspection.
Research Focus
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