Xuejiao Yang

Papers

Total Citations

H-Index

About

Xuejiao Yang is a researcher specializing in computer vision and robotic automation, with a particular focus on curve tracking and visual perception systems. Her most cited work, "Curve tracking with improved chain code algorithm" (2009), addresses critical challenges in industrial robotics, including automatic welding and incising. In this foundational paper, Yang employs structured light triangulation for precise camera calibration and introduces an enhanced curve detection algorithm that improves the accuracy and efficiency of robotic path following. While her citation count is modest, Yang’s contributions have practical significance in manufacturing automation, where reliable curve tracking is essential for quality control and process optimization. Her work demonstrates a strong integration of theoretical image processing techniques with real-world engineering applications, offering valuable insights for students and researchers interested in computer vision, robotics, and industrial automation systems.