Mojdeh Rastgoo

Laboratoire d’Électronique, Informatique et Image

Papers

Total Citations

H-Index

About

Mojdeh Rastgoo is a researcher whose work sits at the intersection of computer vision, robotics, and polarimetric imaging. Her key research areas include visual navigation, attitude estimation, and the use of unconventional imaging systems for autonomous systems. Her most notable contribution, "Attitude Estimation from Polarimetric Cameras" (2018, 11 citations), addresses a critical challenge in outdoor robotics: how to reliably determine orientation when traditional visual cues fail. By leveraging the polarization patterns of skylight—a naturally occurring compass—Rastgoo demonstrated that polarimetric cameras can provide robust attitude estimates even in environments where sky regions dominate the image. This work has direct implications for navigation and path planning in drones, autonomous vehicles, and field robots operating under variable lighting conditions. While her citation count is still growing, the novelty of her approach lies in fusing bio-inspired sensing with classical geometric computer vision, offering an alternative to GPS-dependent or magnetometer-based systems. Rastgoo’s research stands out for its practical focus on real-world outdoor conditions, making her a promising voice in the development of more resilient autonomous navigation systems.