M. Edgar

University of Glasgow, Centennial Medical Center

Papers

Total Citations

H-Index

About

M. Edgar is a researcher at the intersection of autonomous systems, sensor fusion, and web performance optimization. Their work addresses two distinct but critical challenges: enabling precise environmental perception for automation, and enhancing user experience in digital ecosystems. Edgar’s most impactful contribution, "Hybrid 3D ranging and velocity tracking system combining multi-view cameras and simple LiDAR" (2019, 12 citations), pioneers a cost-effective approach to real-time position, distance, and velocity sensing. By fusing multi-view camera data with simplified LiDAR, this work directly tackles a key bottleneck in robotics and autonomous vehicle navigation, offering a scalable solution for accurate decision-making. More recently, Edgar has contributed to the understanding of web performance through "Page Experience: Core Web Vitals and More" (2023, 3 citations), a chapter that demystifies Google’s ranking factors—including speed, mobile usability, and Core Web Vitals—and their dual role in improving search rankings and user engagement. This work bridges technical optimization with practical digital strategy. With a growing citation footprint, Edgar’s research demonstrates a rare versatility, advancing both the physical sensing that powers automation and the digital performance that defines modern web experiences.