Chunyu Xu
Papers
1
Total Citations
1
H-Index
1
About
Chunyu Xu is a researcher at the forefront of construction robotics and computer vision, with a focus on developing precise, real-time sensing systems for automated construction environments. Their most notable contribution is a novel laser line detection algorithm that integrates the Line Segment Detector (LSD) with an improved least squares method, specifically designed to solve critical line-finding and localization challenges in actual construction operations. This work, published in 2023, addresses the practical need for robust positioning in dynamic, unstructured job sites—enabling construction robots to accurately interpret their surroundings through laser-based guidance. By combining advanced edge detection with enhanced statistical fitting, Xu’s algorithm achieves higher accuracy and stability than conventional methods, directly supporting the deployment of autonomous machinery in building and infrastructure projects. With 1 citation to date, this foundational paper is gaining traction as a reference for researchers exploring sensor fusion and real-time control in construction automation. Xu’s work stands out for its practical engineering focus, bridging the gap between theoretical computer vision and the demanding requirements of on-site robotic operation.
Research Focus
Key Achievements
Top Papers
- 1