About

Patrice Faure is a pioneering researcher in radar-based perception systems for mobile and autonomous robotics, with a career spanning over two decades of sustained contributions to this specialized field. His work centers on the design and application of millimeter-wave and FMCW (Frequency-Modulated Continuous Wave) radar sensors for environmental perception, object detection, and robot localization in challenging outdoor conditions. Faure's most recognized contribution is the PELICAN system — a panoramic millimeter-wave radar architecture for mobile robotics — which has attracted 26 citations and represents a landmark effort in bringing radar-based spatial awareness to autonomous ground vehicles. His early foundational work on intertwined linear frequency modulation waveforms (2009) and multiple-target FMCW detection (2004) helped establish radar as a credible alternative to optical sensors in dusty, low-visibility, and adverse-weather agricultural environments. A recurring theme across his publications is agricultural robotics, where robust perception is critical for safety and productivity. His involvement in the QUAD-AV project (2022) reflects his commitment to multi-sensor fusion approaches for autonomous agricultural vehicles. With contributions also spanning radar-based SLAM and mobile mapping for GPS-denied localization, Faure's cumulative work — totaling over 75 citations — has meaningfully shaped the development of resilient robotic perception systems.

Research Focus

Key Achievements

6
H-Index
8
Papers
89
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
PELICAN: Panoramic millimeter-wave radar for perception in mobile robotics applications, Part 1: Principles of FMCW radar and of 2D image construction
26 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Unité de Recherche Agrosystèmes tropicaux, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago