Yeting Zhang
Papers
2
Total Citations
46
H-Index
2
About
Yeting Zhang is a leading researcher in computer vision and spatial information systems, with a focus on camera calibration and indoor location services. Their most cited work, "A Flexible Method for Zoom Lens Calibration and Modeling Using a Planar Checkerboard" (2013, 26 citations), introduces a novel four-step approach to calibrating zoom lenses by determining the principal point through a focus-of-expansion technique, significantly improving accuracy in dynamic imaging environments. This contribution has been foundational for applications in robotics and surveillance. Zhang’s second major work, "Indoor Multi-Dimensional Location GML and Its Application for Ubiquitous Indoor Location Services" (2016, 20 citations), extends Open Geospatial Consortium standards like CityGML and IndoorGML to support multi-dimensional location data, enabling seamless indoor navigation and ubiquitous location services. By bridging the gap between 3D city modelling and lightweight indoor networks, Zhang has advanced the interoperability of spatial data for smart buildings and IoT systems. Their research continues to influence both academic studies and practical implementations in geospatial technology.
Research Focus
Key Achievements
Top Papers
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- 2