About

Pierre-Jean Lapray is a leading researcher at the intersection of computational imaging and autonomous robotics, with key contributions in multispectral sensing, polarization vision, and high dynamic range (HDR) imaging. His work on spectral filter arrays (SFA) for joint visible and near-infrared acquisition—detailed in his 2016 paper (51 citations)—pioneered compact, single-shot multispectral cameras that dramatically enhance machine perception by capturing richer surface property data than conventional color imaging. Lapray has also advanced passive polarized vision for autonomous vehicles, authoring a comprehensive 2024 review (22 citations) that explores bio-inspired navigation techniques, such as using sky light polarization for geolocation and heading determination. His recent 2025 paper on collision-aware traversability analysis addresses critical safety challenges in agricultural robotics, proposing novel methods for autonomous navigation in complex environments. Additionally, his 2012 work on real-time HDR vision systems laid foundational techniques for robotic applications requiring robust performance in high-contrast scenes. With over 75 total citations, Lapray’s research continues to shape the future of autonomous systems, bridging advanced sensor design with practical, real-world robotic applications.

Research Focus

Key Achievements

2
H-Index
4
Papers
77
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Spectral Characterization of a Prototype SFA Camera for Joint Visible and NIR Acquisition
51 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Centre National de la Recherche Scientifique, Université de Haute-Alsace, Laboratoire d’Électronique, Informatique et Image

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago