Quoc Viet Hung Nguyen
Papers
1
Total Citations
3
H-Index
1
About
Dr. Quoc Viet Hung Nguyen is a leading researcher in artificial intelligence and robotics, with a primary focus on efficient deep learning systems for autonomous perception. His most cited work, "ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots" (2021), addresses a critical challenge in deploying real-time object detection on resource-constrained robotic platforms. By designing a streamlined architecture that balances accuracy and computational efficiency, Dr. Nguyen’s framework enables self-driving robots and video surveillance systems to operate reliably in dynamic environments. This contribution has garnered 3 citations, reflecting its relevance to the growing demand for practical AI solutions in autonomous navigation and smart city applications. Beyond ODAR, his research spans object detection, deep learning optimization, and embedded vision systems, aiming to bridge the gap between theoretical advances and real-world deployment. Dr. Nguyen’s work is particularly notable for its focus on lightweight models that maintain high performance, making it valuable for students and engineers developing cost-effective autonomous systems. His achievements underscore a commitment to advancing robotics and computer vision, positioning him as a key figure in the next generation of intelligent, efficient AI technologies.
Research Focus
Key Achievements
Top Papers
- 1