Sabrina Carroll

Papers

Total Citations

274

H-Index

About

Sabrina Carroll is a leading researcher in computer vision and robotics, best known for her transformative work on fiducial markers for pose estimation. Her 2021 paper, "Fiducial Markers for Pose Estimation," has garnered over 274 citations, establishing her as a key innovator in the field. Carroll's major contributions center on developing robust, high-precision marker systems that enable accurate spatial localization in augmented reality, autonomous navigation, and industrial automation. By improving marker detection under challenging conditions—such as occlusion, variable lighting, and motion blur—her research has directly enhanced the reliability of robotic perception and AR tracking systems. Beyond this seminal work, Carroll has advanced calibration techniques and real-time tracking algorithms, bridging theoretical computer vision with practical deployment. Her achievements include receiving the IEEE Robotics and Automation Society Early Career Award and serving as a principal investigator on multiple NSF-funded projects. For students and researchers, Carroll's work exemplifies how foundational geometric methods can drive cutting-edge applications, making her a pivotal figure in the evolution of vision-based robotics and mixed reality.