Papers
1
Total Citations
4
H-Index
1
About
Dr. Yue Yue’s research lies at the intersection of computer vision, robotics, and intelligent transportation systems, with a particular focus on enhancing autonomous navigation in complex built environments. Her most cited work, “Detection of Public Information Sign in Airport Terminal Based on Multi-scales Spatio-temporal Vision Information” (2008, 4 citations), introduces a pioneering method for airport terminal service robot localization. By leveraging multi-scale spatio-temporal visual cues and a connected components labeling algorithm, Dr. Yue’s approach enables robots to robustly detect and interpret public information signs—a critical capability for seamless human-robot interaction in crowded, dynamic spaces. This contribution addresses a fundamental challenge in service robotics: reliable landmark recognition under varying lighting, scale, and occlusion conditions. Though her citation count is modest, the work’s practical significance is underscored by its direct application to real-world airport logistics and accessibility. Dr. Yue’s research exemplifies how targeted, application-driven vision algorithms can bridge the gap between theoretical computer vision and deployable robotic systems, offering a foundation for future work in autonomous indoor navigation and intelligent infrastructure.
Research Focus
Key Achievements
Top Papers
- 1