Yueh Chuan Chang
Papers
1
Total Citations
3
H-Index
1
About
Yueh Chuan Chang is a researcher specializing in robotics, computer vision, and sensor fusion, with a particular focus on precise pose estimation for mobile robots. His most cited work, "Design and Implementation of a Pose Estimation System Based on Visual Fiducial Features and Multiple Cameras" (2018, 3 citations), introduces a cost-effective, off-the-shelf hardware solution that leverages visual fiducial markers and multi-camera setups to generate accurate ground truth data for indoor localization experiments. This contribution addresses a critical need in robotics research—providing reliable, reproducible benchmarks for validating navigation algorithms. Chang’s approach emphasizes accessibility and practicality, enabling labs with limited resources to conduct high-fidelity localization tests. His work bridges the gap between theoretical pose estimation methods and real-world deployment, making him a notable figure in applied robotics. While his citation count is modest, the foundational nature of his system design offers lasting value for researchers developing autonomous mobile robots in GPS-denied environments. Chang’s dedication to open, replicable research tools underscores his impact on advancing experimental standards in robotics.
Research Focus
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Top Papers
- 1