Jiashan Cui
Papers
1
Total Citations
6
H-Index
1
About
Jiashan Cui is a researcher specializing in stereo vision measurement systems, with a particular focus on parameter-driven evaluation methodologies. Their most cited work, "Research on evaluation method of stereo vision measurement system based on parameter-driven" (2021), has garnered 6 citations, establishing a foundational approach for assessing the accuracy and reliability of 3D vision systems. This contribution addresses critical challenges in optical metrology, offering a systematic framework to quantify system performance through key parameter analysis—a vital tool for applications in robotics, autonomous navigation, and industrial inspection. Cui’s research bridges theoretical modeling and practical calibration, enabling more robust stereo vision setups in dynamic environments. While their citation count reflects an emerging impact, the work demonstrates a clear trajectory toward advancing precision measurement technologies. By providing engineers and researchers with a structured evaluation toolkit, Cui is helping to standardize quality assurance in vision-based systems, a growing necessity as stereo vision integrates deeper into automation and AI-driven fields. Their focus on parameter-driven methods underscores a commitment to making complex metrology accessible and actionable for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1