Petros Karvelis
Papers
2
Total Citations
25
H-Index
2
About
Dr. Petros Karvelis is a leading researcher in autonomous navigation for Micro Aerial Vehicles (MAVs), with a specific focus on the extreme challenges of subterranean environments. His work directly addresses the critical need for reliable, vision-based navigation in GPS-denied, degraded underground mines. Dr. Karvelis’s major contribution lies in developing novel computer vision frameworks that allow MAVs to perceive and interpret complex tunnel geometries. His most cited work, "Visual Subterranean Junction Recognition for MAVs based on Convolutional Neural Networks" (17 citations), proposes a pioneering method for detecting tunnel crossings—a fundamental capability for autonomous path planning in mine networks. He further advances this field with "Where to look: a collection of methods for MAV heading correction in underground tunnels" (8 citations), which provides a suite of robust techniques for maintaining stable flight in visually degraded conditions. By tackling the unique perceptual challenges of subterranean spaces—from low light to ambiguous geometries—Dr. Karvelis is laying the essential groundwork for integrating aerial robotics into mining operations, promising to enhance both safety and efficiency in one of the world’s most hazardous work environments.
Research Focus
Key Achievements
Top Papers
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