Nghi Nguyen Vinh
Papers
2
Total Citations
14
H-Index
2
About
Dr. Nghi Nguyen Vinh is a rising force in intelligent robotics and autonomous vehicle systems, whose work bridges perception, control, and real-time deployment. His research centers on enhancing robotic autonomy through advanced sensor fusion and deep learning, with a particular focus on Simultaneous Localization and Mapping (SLAM) and lane-keeping control. In his highly cited 2023 study, Dr. Vinh conducted a rigorous comparative analysis of SLAM algorithms, integrating YOLO-based human detection and multi-objective optimization within the ROS2 framework—a contribution that has already garnered 11 citations for its practical, deployable insights into indoor robotics. He further advanced autonomous driving safety with an innovative lane-keeping controller that combines Convolutional Neural Networks (CNN) with Long Short-Term Memory (LSTM) networks, using front-facing camera data to predict steering commands. This work, while recent, demonstrates his ability to tackle the complexity of traffic navigation with data-driven neural architectures. Dr. Vinh’s research is notable for its hands-on, systems-level approach, directly addressing the challenges of real-world robot and vehicle operation. His growing citation record and focus on integration of perception and control mark him as a promising contributor to the next generation of autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2