Hoa‐Hung Nguyen
Papers
3
Total Citations
16
H-Index
3
About
Hoa-Hung Nguyen is a leading researcher in the field of pipeline integrity management, specializing in robotic in-line inspection (ILI) for underground natural gas networks. His work focuses on solving critical challenges in autonomous pipeline inspection, particularly in the estimation of robot pose, pipe geometry, and localization accuracy using advanced 3D sensing technologies. Nguyen’s major contributions include the development of the Simultaneous Pipe-Attribute and PIG-Pose Estimation (SPPE) method, which leverages 3D point cloud data from LiDAR and time-of-flight (ToF) sensors to accurately estimate pipe attributes and the pose of pipeline inspection gauges (PIGs) in compressible gas pipelines. His research on robust and unbiased estimation of robot pose and pipe diameter using 3D ToF sensors has garnered significant attention, with his most-cited papers accumulating over 16 citations since 2023. Nguyen has also advanced offline navigation algorithms for intelligent PIGs, improving localization accuracy for safer and more reliable pipeline assessments. His work is instrumental in enhancing the safety and efficiency of natural gas infrastructure, making him a key figure in the development of next-generation inspection robotic systems.
Research Focus
Key Achievements
Top Papers
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