About

Christian Laugier is a pioneering researcher in autonomous robotics and intelligent transportation systems, whose work has fundamentally shaped how robots and vehicles perceive, reason about, and navigate complex dynamic environments. Based at INRIA in France, Laugier has dedicated his career to solving some of the most challenging problems in autonomous navigation, accumulating over 1,400 citations across his most influential works. His foundational contributions include developing probabilistic frameworks for obstacle avoidance in uncertain environments, most notably through the Probabilistic Velocity Obstacle (PVO) approach combined with dynamic occupancy grids — a methodology that transformed how autonomous systems handle unpredictable moving objects. His work on Rapidly-exploring Random Trees with Gaussian processes brought sophisticated probabilistic planning to dynamic, real-world settings, while his Risk-RRT framework advanced socially aware robot navigation by modeling human interactions explicitly. Laugier's influence extends across path planning for car-like robots, real-time optical flow-based obstacle detection, deep learning approaches such as GndNet for LiDAR-based ground segmentation, and vehicle speed prediction for intelligent transportation systems. His breadth — spanning classical robotics through modern deep learning — reflects a career continuously evolving at the frontier of autonomous systems research, making his work essential reading for anyone entering the field of autonomous vehicles or mobile robotics.

Research Focus

Key Achievements

28
H-Index
94
Papers
2,791
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
399 citations · 2008
📈 Most Prolific Year: 2002 (14 Papers)
🤝 Key Collaborators: 115
🏛 Institutions: Institut national de recherche en sciences et technologies du numérique, Centre Inria de l'Université Grenoble Alpes, Translational Innovation in Medicine and Complexity, Université Joseph Fourier, Université Grenoble Alpes, Centre National de la Recherche Scientifique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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