Papers
4
Total Citations
56
H-Index
3
About
Marie-Odile Monod is a researcher specializing in radar-based perception systems for mobile robotics, with a particular focus on developing innovative sensing technologies for autonomous ground vehicles operating in outdoor and agricultural environments. Her work has made significant contributions to the field of millimeter-wave radar engineering, advancing how robots detect, track, and map their surroundings in complex real-world settings. Monod's most influential contribution is the PELICAN system, a panoramic millimeter-wave radar platform designed for mobile robotics perception, which has garnered 26 citations since its 2016 publication and established foundational principles for FMCW radar-based 2D image construction. Her earlier research on mobile ground-based radar sensors for detection and tracking of moving objects (DATMO) tackled the challenging problem of discriminating between static and dynamic elements in outdoor environments without prior knowledge — a critical capability for autonomous navigation. Her 2017 work on panoramic K-band radar further demonstrated practical applications in agricultural robotics, aligning with EU Horizon 2020 priorities. With a research trajectory spanning over a decade, from early localization and mapping experiments in 2007 to sophisticated panoramic systems, Monod has been instrumental in establishing radar as a viable and robust perceptual modality for autonomous mobile platforms operating in demanding outdoor conditions.
Research Focus
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