Thien‐Minh Nguyen
Papers
26
Total Citations
876
H-Index
12
About
Thien-Minh Nguyen is a prominent robotics researcher whose work spans autonomous aerial systems, sensor fusion, and multi-robot coordination. He is best known for advancing robust localization and perception in GPS-denied environments, with a particular focus on integrating diverse sensor modalities including cameras, IMUs, LiDAR, and Ultra-Wideband (UWB) ranging systems. Nguyen's most influential contribution is the NTU VIRAL dataset (175 citations), a comprehensive benchmark that has become a vital resource for aerial autonomous systems research. Building on this foundation, he developed VIRAL-Fusion (102 citations) and pioneered tightly-coupled camera-IMU-UWB fusion frameworks (123 citations) that significantly reduce localization drift in challenging environments. His work on monocular visual odometry augmented by a single UWB anchor (45 citations) demonstrates a practical, low-infrastructure approach to accurate positioning. Beyond individual robot navigation, Nguyen has made notable contributions to multi-robot systems, including adaptive relative localization for swarms (70 citations) and non-entangling trajectory planning for tethered vehicles (39 citations). His recent MCD multi-campus dataset (48 citations) further broadens the community's evaluation tools beyond autonomous driving. Collectively, his publications have garnered over 750 citations, reflecting substantial and growing influence across the robotics research community.
Research Focus
Key Achievements
Top Papers
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- 3VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach102 citations · 2021
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- 7MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception48 citations · 2024
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