Nam-Hoang Nguyen

Papers

Total Citations

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About

Nam-Hoang Nguyen is a researcher specializing in indoor localization, mobile robotics, and Visible Light Communication (VLC) systems. His work focuses on developing innovative positioning solutions for mobile robots operating in indoor environments, where traditional GPS-based methods fall short. Nguyen's most significant contributions center on leveraging LED-based VLC technology to achieve accurate robot localization, combining multiple signal processing techniques to enhance precision and reliability. His most cited work, "Improvement of the VLC localization method using the Extended Kalman Filter" (2014, 19 citations), introduced an integrated Angle of Arrival (AOA) and Received Signal Strength (RSS) approach, further refined through Extended Kalman Filter algorithms to improve positional accuracy in dynamic environments. Building on this foundation, his 2015 paper on LED positioning system design and simulation (12 citations) advanced the practical implementation of AOA-RSS integration for real-world robotic applications. Nguyen's research has made a meaningful impact on the growing field of visible light-based indoor navigation, offering energy-efficient and cost-effective alternatives to conventional localization technologies. His work is particularly valuable for students and engineers exploring next-generation smart indoor systems and autonomous robotics, demonstrating how optical wireless communication can be harnessed as a precise and practical positioning tool.