Fabien Dekeyser

Laboratoire d'Intégration des Systèmes et des Technologies, Integra (United States)

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About

Fabien Dekeyser is a researcher specializing in computer vision and autonomous robotics, with a particular focus on Simultaneous Localization and Mapping (SLAM) for mobile systems. His most recognized contribution lies in pioneering monocular vision-based SLAM, a technique that enables mobile robots to navigate and build maps of their environment using only a single calibrated camera as input — eliminating the need for expensive depth sensors or additional hardware. His 2006 work on monocular vision-based SLAM demonstrated that robust camera pose estimation and environmental mapping could be achieved in real time at video frame rates, through the detection and matching of interest points across image sequences. This approach represented a significant step forward in making autonomous robot navigation more practical and cost-effective. The paper has accumulated over 50 citations across its versions, reflecting its meaningful influence on the robotics and computer vision communities. Dekeyser's research sits at the intersection of visual perception, probabilistic estimation, and mobile robotics — fields that have grown enormously in relevance with the rise of autonomous vehicles and drones. For students entering these areas, his work offers a foundational example of how constrained sensory input can still yield powerful spatial reasoning capabilities in real-world robotic systems.