Han Yue

Papers

Total Citations

H-Index

About

Dr. Han Yue is a leading researcher in indoor mapping and spatial data correction, with a focus on enhancing the precision of indoor environments for applications like robot navigation and location-based services. Her key contributions center on developing advanced mathematical methods to refine raw, irregular indoor map boundaries, which are often too coarse for practical use. Her most cited work, "Indoor Map Boundary Correction Based on Normalized Total Least Squares of Condition Equation" (2021), introduces a novel approach that accounts for errors in both observations and model parameters, achieving more accurate boundary adjustments than traditional methods. This paper has garnered 3 citations, marking a foundational step in her career. Dr. Yue’s research addresses a critical gap in indoor mapping—transforming flawed raw data into reliable, high-precision maps essential for autonomous systems. Her work is particularly notable for its practical impact, offering a robust solution to a common challenge in spatial data processing. As she continues to publish, Dr. Yue’s contributions are poised to influence the development of smarter, more reliable indoor navigation technologies.