Quan N.A. Nguyen

Duy Tan University

Papers

3

Total Citations

30

H-Index

3

About

Quan N.A. Nguyen is a robotics researcher whose work centers on autonomous navigation, localization, and intelligent human-robot interaction. His most cited paper, "Extended Kalman Filter (EKF) Based Localization Algorithms for Mobile Robots Utilizing Vision and Odometry" (2022, 13 citations), introduces a positioning method that fuses camera-based QR code recognition with odometry data, enabling mobile robots to accurately localize within known environments. Building on this, Nguyen designed a smart interactive guiding robot for busy airports (2022, 12 citations), a timely contribution addressing post-pandemic needs for bio-safe, automated assistance in high-traffic public spaces. He has also explored real-time object tracking for robot navigation using field programmable gate arrays (FPGAs) (2022, 5 citations), demonstrating a hardware-efficient approach that integrates median filtering and object discrimination from live camera feeds. Across these works, Nguyen’s contributions lie in bridging vision-based sensing with robust estimation algorithms and practical deployment scenarios. His research is particularly relevant for students and engineers interested in mobile robotics, sensor fusion, and the application of embedded systems to real-world navigation challenges.

Research Focus

Key Achievements

3
H-Index
3
Papers
30
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Extended Kalman Filter (EKF) Based Localization Algorithms for Mobile Robots Utilizing Vision and Odometry
13 citations · 2022
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Duy Tan University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago