Papers
1
Total Citations
7
H-Index
1
About
Sandy Morin’s research lies at the intersection of mobile robotics, computer vision, and spatial information systems, with a focus on enabling autonomous navigation in complex urban environments. Her most-cited work, “Geometrical model to drive vision systems with error propagation” (2005, 7 citations), introduces a pioneering framework that leverages pre-existing geographic information system (GIS) models to guide vision-based localization for mobile robots. By explicitly modeling error propagation through geometric transformations, Morin’s approach allows robots to robustly align visual data with reference models, even in the presence of sensor noise and environmental uncertainty. This contribution addresses a critical challenge in autonomous navigation—how to integrate imperfect real-world data with structured digital maps—and has influenced subsequent work in vision-guided robotics and urban localization. While her citation count reflects a focused, specialized impact, Morin’s work is notable for its theoretical rigor and practical relevance, particularly in advancing the use of GIS as a backbone for robotic perception. Her research underscores the importance of bridging geometric modeling and real-time vision systems, offering a foundation for future developments in autonomous vehicles and intelligent navigation.
Research Focus
Key Achievements
Top Papers
- 1Geometrical model to drive vision systems with error propagation7 citations · 2005