Lloyd Waugh

Papers

Total Citations

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About

Lloyd Waugh’s research lies at the intersection of robotics, computer vision, and infrastructure inspection, with a focus on autonomous navigation and photogrammetric data acquisition. His most cited work, “Objective Speckle Velocimetry for Autonomous Vehicle Odometry” (2012, 19 citations), introduces a novel technique using normalized cross-correlation of speckle patterns to measure vehicle translation, offering a robust alternative for odometry in autonomous robotic systems. This foundational contribution demonstrates his ability to bridge optical metrology and field robotics. More recently, Waugh has advanced the inspection of critical infrastructure, particularly hydroelectric tunnels. His 2023 paper (4 citations) presents a complete architecture for a mobile robotic camera positioning system that automates photogrammetric data collection, ensuring high accuracy in challenging, confined environments. A complementary 2022 conceptual design (3 citations) details a system adaptable to tunnels with varying diameters, maintaining consistent image quality for structural assessment. Together, these works underscore Waugh’s commitment to practical, deployable solutions that enhance safety and efficiency in infrastructure monitoring. His research is especially relevant for students and engineers interested in real-world applications of robotics and computer vision for industrial inspection.