Papers
4
Total Citations
24
H-Index
3
About
Vincent Drevelle is a researcher specializing in robotics, autonomous navigation, and interval-based methods for state estimation. His work focuses on developing robust localization techniques for unmanned aerial vehicles (UAVs) and mobile robots, particularly under uncertain or bounded-error measurement conditions. Drevelle’s major contributions include the use of subpavings and constraint propagation to guarantee the characterization of explored spaces and robot poses, ensuring reliable navigation even with noisy sensor data. His most-cited paper, "Guaranteed Characterization of the Explored Space of a Mobile Robot by using Subpavings" (2013, 10 citations), introduces a novel approach for mapping unknown environments with formal guarantees. He further advanced UAV localization with works like "Image-based UAV localization using interval methods" (2017, 6 citations), which computes bounded pose domains from uncertain image landmarks, and "Interval-Based Cooperative UAVs Pose Domain Characterization from Images and Ranges" (2018, 5 citations), extending these methods to multi-robot systems. His research has practical implications for search-and-rescue, surveillance, and autonomous exploration, demonstrating a commitment to safety-critical robotics. Drevelle’s work is highly relevant for students and researchers interested in interval analysis, sensor fusion, and reliable autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Image-based UAV localization using interval methods6 citations · 2017
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