Chenxi Xia
Papers
1
Total Citations
12
H-Index
1
About
Chenxi Xia is a researcher specializing in high-speed railway infrastructure inspection and 3D scanning technologies for precision engineering. Their primary research focuses on developing innovative, non-contact detection methods for critical railway components, particularly track slabs and supporting blocks, using advanced point cloud data processing. Xia’s most notable contribution is an original detection framework that leverages 3D scanning technology to rapidly and accurately measure the dimensions of high-speed railway track slab supporting blocks—a task essential for quality assurance before slab delivery. This work, published in 2019 and cited 12 times, demonstrates how continuous, high-density point cloud acquisition can replace traditional manual inspection, significantly improving efficiency and precision in railway construction. By integrating sensor technology with automated data analysis, Xia’s research addresses a key bottleneck in high-speed rail manufacturing, ensuring structural integrity and operational safety. Their work stands out for its practical application in real-world engineering, bridging the gap between laboratory innovation and industrial deployment. For students and researchers in civil engineering, transportation infrastructure, or geomatics, Xia’s contributions offer a compelling example of how 3D scanning and point cloud analytics can revolutionize quality control in large-scale infrastructure projects.
Research Focus
Key Achievements
Top Papers
- 1