Yufu Zang

Nanjing University of Information Science and Technology

Papers

Total Citations

414

H-Index

About

Yufu Zang is a leading researcher in 3D geospatial data processing, with a primary focus on point cloud registration, mobile laser scanning (MLS), and terrestrial laser scanner (TLS) localization. Their most significant contribution is the comprehensive review and benchmark on the registration of large-scale terrestrial laser scanner point clouds (2020), which has garnered over 410 citations and serves as a foundational reference for the field. This work systematically evaluated state-of-the-art methods, providing critical insights into accuracy and efficiency for large-scale 3D mapping. Zang also advanced the deep localization of static TLS scans within mobile mapping point clouds (2021), a technique that enables detailed geometric enrichment of large-scale MLS data by integrating high-density TLS scans. This innovation bridges the gap between local precision and global coverage, offering practical solutions for urban modeling, infrastructure monitoring, and autonomous navigation. With a career marked by high-impact, methodologically rigorous studies, Zang’s research continues to shape the evolution of 3D point cloud analysis, making them a key figure for students and professionals in photogrammetry, computer vision, and remote sensing.