Leslie Fife

Papers

Total Citations

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About

Leslie Fife is a researcher whose work lies at the intersection of computer vision and underwater robotics, with a focus on making autonomous underwater vehicles (AUVs) more capable and accessible. Her key contributions center on real-time object tracking and low-cost vehicle design. Fife’s most cited work, "TOUCH: a robotic vision system for underwater object tracking" (2005, 10 citations), introduces a modified 4-connectivity algorithm that scans video frames for a target hue range, enabling AUVs and remotely operated vehicles to track objects in real time—a critical capability for tasks like pipeline monitoring and scientific exploration. She also co-authored "LUV: The Low Cost Underwater Vehicle" (2004, 2 citations), which addresses the challenge of making AUV technology more affordable for diverse applications, from military reconnaissance to environmental monitoring. While her citation counts are modest, Fife’s research is notable for its practical, application-driven approach, bridging the gap between complex robotic systems and real-world usability. Her work has contributed to the foundational tools that enable underwater vehicles to operate more autonomously and effectively in challenging environments.