Papers
1
Total Citations
19
H-Index
1
About
Changjun Ye is a researcher specializing in computer vision and precision manufacturing, with a particular focus on binocular vision techniques for industrial assembly. His most-cited work, "A binocular vision method for precise hole recognition in satellite assembly systems" (2023), has garnered 19 citations, demonstrating its relevance to high-stakes aerospace applications. This contribution addresses a critical challenge in satellite assembly—achieving sub-millimeter accuracy in hole detection through stereo imaging, enabling automated alignment and reducing human error. Ye’s approach integrates advanced image processing with geometric calibration, offering a robust solution for complex, space-grade manufacturing environments. His research bridges the gap between theoretical computer vision and practical engineering, impacting fields like robotics, metrology, and satellite production. By improving precision in assembly systems, Ye’s work supports the growing demand for autonomous, error-tolerant manufacturing in aerospace. For students and researchers, his methods provide a clear example of how binocular vision can be tailored for industrial tasks, inspiring further exploration into vision-guided automation and quality control.
Research Focus
Key Achievements
Top Papers
- 1