Papers
16
Total Citations
1,085
H-Index
11
About
Laurent Kneip is a leading researcher in robotics and computer vision, whose work has fundamentally advanced the autonomous navigation of micro aerial vehicles (MAVs). His key research areas include geometric computer vision, visual odometry, and multi-camera systems for robotics. Kneip is best known for his pioneering contributions to vision-controlled micro flying robots, demonstrated in his highly cited work on autonomous navigation and mapping in GPS-denied environments (297 citations). He developed the widely-used OpenGV library (160 citations), a unified C++ framework for real-time calibrated geometric vision that has become a standard tool in the robotics community. His compendium on monocular vision for long-term MAV state estimation (239 citations) provides essential foundations for aerial robot localization. Kneip also made significant contributions to solving the generalized camera pose estimation problem, introducing efficient solutions to the NPnP problem (76 citations). His work on characterizing the Hokuyo URG-04LX laser range scanner (126 citations) has been instrumental for sensor integration in robotics. Through his leadership in the EU-funded SFly project, which developed swarms of autonomous micro flying robots, Kneip has helped shape the future of aerial robotics for search and rescue, surveillance, and environmental monitoring.
Research Focus
Key Achievements
Top Papers
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- 4Characterization of the compact Hokuyo URG-04LX 2D laser range scanner126 citations · 2009
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- 6SFly: Swarm of micro flying robots36 citations · 2012
- 7A monocular vision-based system for 6D relative robot localization34 citations · 2011
- 8A monocular vision-based system for 6D relative robot localization34 citations · 2011
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