Thanh Minh Nguyen

Deakin University, Centre National de la Recherche Scientifique

Papers

Total Citations

118

H-Index

About

Thanh Minh Nguyen is a leading researcher in real-time 3D computer vision and autonomous systems, with a focus on semantic scene understanding and novel sensing technologies. His most cited work, "Real-Time Progressive 3D Semantic Segmentation for Indoor Scenes" (2019, 79 citations), introduces an efficient technique for on-the-fly dense reconstruction and semantic labeling of indoor environments—a critical capability for drones and assistant robots operating in real-world settings. This contribution addresses the growing demand for high-quality, low-latency perception in autonomous systems. Nguyen is also recognized for his innovative work in optical localization, particularly "Local Positioning System Using Flickering Infrared LEDs" (2017, 39 citations), which presents a minimalistic, insect-inspired sensor that estimates relative position using amplitude-modulated infrared light. This approach offers a low-cost, robust alternative for indoor positioning. By bridging efficient 3D segmentation with bio-inspired sensing, Nguyen’s research pushes the boundaries of real-time spatial intelligence, making him a notable figure in the intersection of computer vision, robotics, and embedded systems.