Renping Xie
Papers
3
Total Citations
65
H-Index
3
About
Renping Xie is a researcher whose work sits at the intersection of computer vision, robotics, and infrastructure inspection, with a focus on developing intelligent automated systems for real-world environments. His most recognized contribution is a 2018 study on automatic multi-image stitching for concrete bridge inspection, which combines point and line features to enable more accurate and efficient structural assessments — a method that has garnered 55 citations and represents a meaningful advance in automating civil infrastructure monitoring. Xie has also explored indoor localization and mapping, contributing to the field of Simultaneous Localization and Mapping (SLAM) through laser-based approaches that incorporate efficient occupancy likelihood map learning for dynamic indoor scenes. This work addresses the growing demand for reliable Location-Based Services in complex, real-world indoor environments. Together, these contributions reflect Xie's broader interest in bridging robotics and practical engineering applications, from autonomous navigation to structural health monitoring. His research demonstrates a consistent drive to apply advanced sensing and mapping techniques to challenging, high-impact problems in both built infrastructure and indoor spatial intelligence.
Research Focus
Key Achievements
Top Papers
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