Papers
8
Total Citations
181
H-Index
4
About
Guy Le Besnerais is a leading researcher in visual robotics, specializing in Visual SLAM (Simultaneous Localization and Mapping), visual-inertial navigation, and cooperative air/ground robotic systems. His most impactful contribution is OV²SLAM, a fully online and versatile visual SLAM system for real-time applications in augmented reality, virtual reality, and autonomous driving, which has garnered 100 citations for its robust and precise performance. He has also advanced robust indoor/outdoor navigation by fusing vision data with magneto-inertial measurement units, addressing challenges in GPS-denied environments. His work on cooperative air/ground systems and real-time mobile object detection using stereo vision has been instrumental in enabling UAVs to navigate and track moving targets autonomously. Notably, Le Besnerais has developed predictive models for scene quality in stereo vision-based localization, allowing robots to avoid areas where localization might fail. He has also contributed to education by integrating experimental datasets and simulation codes into a MOOC on aerial robotics, bridging theory and practice. With over 180 citations across his key publications, Le Besnerais’s research continues to shape the future of autonomous navigation and robotic perception.
Research Focus
Key Achievements
Top Papers
- 1
- 2Issues in Cooperative Air/Ground Robotic Systems32 citations · 2010
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- 4Real-time mobile object detection using stereo15 citations · 2014
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