Papers
18
Total Citations
758
H-Index
11
About
Thien Hoang Nguyen is a robotics researcher whose work sits at the intersection of sensor fusion, autonomous aerial systems, and multi-robot localization. He is best known for pioneering contributions to visual-inertial-ranging-lidar (VIRAL) systems, most notably through the NTU VIRAL dataset (2021, 175 citations), which has become a foundational benchmark for aerial autonomy research. His VIRAL-Fusion framework (2021, 102 citations) addressed persistent challenges in onboard self-localization, including estimation drift and robustness in low-texture environments, by tightly integrating camera, IMU, LiDAR, and Ultra-Wideband (UWB) ranging sensors. Nguyen has made significant advances in UWB-aided localization, demonstrating how even a single unknown UWB anchor can dramatically improve visual odometry accuracy (2020, 2021). His work extends into multi-robot systems, where he developed adaptive relative localization and formation control strategies for robot swarms operating without external infrastructure (2019, 70 citations). More recently, his MCD large-scale multi-campus dataset (2024, 48 citations) has expanded evaluation frontiers beyond autonomous driving. Across his career, Nguyen's research has collectively amassed over 700 citations, reflecting substantial influence on the fields of aerial robotics, SLAM, and cooperative autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach102 citations · 2021
- 4
- 5
- 6MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception48 citations · 2024
- 7
- 8
- 9
- 10