Trung-Hieu Nguyen
Papers
1
Total Citations
2
H-Index
1
About
Trung-Hieu Nguyen has made impactful contributions to computer vision, with a particular focus on real-time traffic sign recognition—a critical component for autonomous vehicles, advanced driver assistance systems, and robot navigation. His most cited work, "A Lightweight Model For Real-time Traffic Sign Recognition" (2020, 2 citations), introduces an efficient architecture that balances accuracy and computational speed, enabling deployment on resource-constrained devices. This research addresses the pressing need for reliable, low-latency detection in dynamic driving environments, directly supporting safer ADAS and path-planning applications. Nguyen’s approach emphasizes model compression without sacrificing performance, a key challenge in embedded vision systems. While his citation count is still growing, his work demonstrates practical engineering insight and potential for real-world impact. His contributions are particularly relevant for students and researchers exploring efficient deep learning models for edge computing and intelligent transportation systems.
Research Focus
Key Achievements
Top Papers
- 1A Lightweight Model For Real-time Traffic Sign Recognition2 citations · 2020