Mathew Legg

Papers

Total Citations

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About

Dr. Mathew Legg is a leading researcher in the field of indoor positioning systems, with a primary focus on Visible Light Positioning (VLP) and its application to robotics. His major contributions center on bridging the gap between theoretical VLP models and practical, real-world deployment. Notably, his highly-cited 2021 work, "Autonomous Fingerprinting and Large Experimental Data Set for Visible Light Positioning," introduced a novel, autonomous method for collecting Received Signal Strength (RSS) data using consumer-grade virtual reality hardware. This work not only provided a comprehensive experimental dataset—a critical resource for the field—but also demonstrated a scalable solution to the labor-intensive problem of fingerprinting, earning 15 citations. Dr. Legg’s research extends to applying VLP for robot localization and navigation, as seen in his 2024 paper, which explores how pre-existing lighting infrastructure can guide autonomous robots. By tackling both the data collection bottleneck and the practical integration of VLP into robotic systems, Dr. Legg is advancing the feasibility of accurate, infrastructure-based indoor navigation. His work is essential reading for students and researchers interested in the intersection of optical wireless communication, sensor fusion, and autonomous systems.