Fadi Atef Bayoud

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

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About

Fadi Atef Bayoud is a researcher specializing in mobile mapping, robotic navigation, and geomatics, with a particular focus on the integration of visual and inertial sensing technologies. His work addresses one of the most persistent challenges in autonomous navigation: reliable positioning and mapping in environments where Global Navigation Satellite System (GNSS) signals are unavailable or unreliable. Bayoud has made notable contributions to the development of vision-aided inertial navigation systems, pioneering methodologies that fuse photogrammetry with inertial sensors to enable accurate Simultaneous Localisation and Mapping (SLAM) for robotic platforms. His 2008 paper on vision-aided inertial navigation for robotic mobile mapping, his most cited work with 7 citations, demonstrates a practical, tested framework that has helped bridge the gap between defense-oriented navigation technologies and broader civilian and research applications. His earlier 2005 publications laid important theoretical and applied groundwork, exploring the algorithmic and sensor integration challenges that underpin modern autonomous mapping systems. Bayoud's research reflects the broader evolution of geomatics into robotics and autonomous systems, making his work particularly relevant to students and researchers working at the intersection of navigation engineering, computer vision, and spatial data acquisition.