Jieying Lv
Papers
1
Total Citations
3
H-Index
1
About
Jieying Lv is a researcher whose work centers on advancing robotic welding through computer vision and precision sensing. Her key research areas include weld seam detection, feature extraction, and intelligent manufacturing automation. Her most notable contribution, detailed in her 2018 paper "Feature point extraction based on contour detection and corner detection for weld seam," addresses a critical challenge in arc welding robotics: accurately identifying weld seam positions despite disturbances like camera resolution, scanning posture, and reflections. By developing a method that combines contour and corner detection, Lv’s work enhances the precision and reliability of vision-guided welding systems, directly impacting quality control in automated manufacturing. Though her citation count stands at 3, this foundational research is vital for engineers and researchers tackling real-world industrial automation problems. Lv’s focus on overcoming environmental noise in sensor data makes her a practical contributor to the field of robotic vision, with potential applications in high-stakes environments where weld integrity is paramount. Her work exemplifies the intersection of computer vision and manufacturing, offering a stepping stone for future innovations in adaptive welding systems.
Research Focus
Key Achievements
Top Papers
- 1