Olivier Morel

Creusot-Loire Entreprises (France), Université Bourgogne Franche-Comté, Centre National de la Recherche Scientifique

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About

Olivier Morel is a leading researcher in the field of polarimetric imaging and computer vision, with a particular focus on its applications in autonomous vehicles and robotics. His work explores how polarized light — the same natural phenomenon exploited by insects and marine animals for navigation — can be harnessed to enhance machine perception in challenging environments. Morel's most influential contribution is his comprehensive review of passive polarized vision for autonomous vehicles (2024, 22 citations), which systematically addresses how polarization sensing can enable robots to determine geolocation, estimate true north heading, and interpret complex visual scenes. His practical calibration method for RGB micro-grid polarimetric cameras (2022, 12 citations) has made polarimetric imaging more accessible and reliable for real-world robotic applications, including underwater navigation, glare removal, and depth estimation. Further demonstrating his commitment to open science, Morel co-authored Pola4All (2024), an open-source toolkit democratizing polarimetric analysis for the broader computer vision community. Collectively, his research bridges the gap between biological vision systems and engineering applications, equipping the next generation of autonomous systems with richer, more robust environmental understanding.