Martial Sanfourche
Université Paris-Saclay, Office National d'Études et de Recherches Aérospatiales
Papers
5
Total Citations
144
H-Index
4
About
Martial Sanfourche is a leading researcher in visual robotics, specializing in real-time localization and navigation systems that operate without GPS. His work centers on Visual SLAM (Simultaneous Localization and Mapping), sensor fusion, and autonomous perception for drones and mobile robots. Sanfourche’s most impactful contribution is the OV²SLAM system (100 citations), a fully online, versatile visual SLAM framework designed for augmented reality, robotics, and autonomous driving—delivering robust, real-time performance in unknown environments. He also developed a robust indoor/outdoor navigation filter that fuses vision with magneto-inertial data (22 citations), addressing the challenge of low-quality inertial sensors in GPS-denied settings. His earlier work on real-time stereo-based object detection (15 citations) optimized dense stereo and optical flow for mobile robotics, while his flight experiments demonstrated vision-based simultaneous navigation and tracking of ground targets from UAVs (4 citations). Sanfourche’s research consistently pushes the boundaries of autonomous navigation, enabling systems to perceive, localize, and track with minimal infrastructure—making him a key figure in advancing practical, real-world visual robotics.
Research Focus
Key Achievements
Top Papers
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- 3Real-time mobile object detection using stereo15 citations · 2014
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