Xiuli Qu

North Carolina Agricultural and Technical State University

Papers

Total Citations

H-Index

About

Xiuli Qu’s research centers on robotics, sensor fusion, and localization, with a particular emphasis on landmark-based navigation systems. Her work addresses fundamental challenges in autonomous vehicle and robot positioning, focusing on how environmental features influence localization accuracy. In her most-cited paper, “Statistical characteristics of landmark-based localization performance” (2009), Qu developed a rigorous framework for analyzing how landmark geometry and sensor noise affect localization precision—a critical contribution for improving the reliability of autonomous systems in real-world environments. While her citation count reflects the specialized nature of her field, this foundational work has informed subsequent studies in mobile robotics and intelligent transportation systems. Qu’s research bridges theoretical statistics and practical engineering, providing tools for engineers to predict and optimize localization performance under uncertainty. Her contributions are particularly relevant for applications in warehouse automation, autonomous driving, and aerial drones, where precise positioning is essential. Through her analytical approach, Qu has helped advance the understanding of how sensor limitations and environmental factors interact, enabling more robust navigation algorithms for emerging autonomous technologies.