Papers
7
Total Citations
116
H-Index
5
About
Stanislas Larnier is a computer vision and robotics researcher whose work sits at the intersection of autonomous mobile robotics, image processing, and non-destructive inspection systems. He is best known for his contributions to the French Air-Cobot project, a pioneering initiative developing collaborative mobile robots capable of performing automated preflight aircraft inspections. His most influential paper, "Automated exterior inspection of an aircraft with a pan-tilt-zoom camera mounted on a mobile robot" (2015, 55 citations), established a foundational image processing framework for detecting and verifying exterior aircraft elements — a significant step toward reducing human error in aviation maintenance. Subsequent work refined visual detection and verification algorithms, achieving robust real-world performance under demanding operational conditions. Beyond inspection, Larnier has made meaningful contributions to robot perception and safe navigation, developing real-time systems for moving obstacle detection using laser range finders and ground marking analysis for trajectory planning. His work on matching CAD models to image features further demonstrates a sophisticated approach to robot localization around complex structures like aircraft. With over 100 cumulative citations across his published works, Larnier's research represents a compelling fusion of practical industrial application and advanced computer vision methodology.
Research Focus
Key Achievements
Top Papers
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- 2Automatic visual detection and verification of exterior aircraft elements20 citations · 2017
- 3Moving Obstacles Detection and Camera Pointing for Mobile Robot Applications15 citations · 2017
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