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About

Han-You Jeong is a leading researcher in the field of robotic pipeline inspection, with a primary focus on the development of advanced sensing and localization techniques for in-line inspection (ILI) systems. His work addresses critical challenges in the integrity management of underground natural gas pipelines, where accurate data is essential for preventing accidents. Jeong’s major contributions include the creation of novel algorithms that leverage 3D point cloud data from LiDAR and time-of-flight (ToF) sensors. His most cited paper, "A Simultaneous Pipe-Attribute and PIG-Pose Estimation (SPPE) Using 3-D Point Cloud in Compressible Gas Pipelines" (2023, 7 citations), pioneered a method for simultaneously estimating pipe geometry and the pose of a pipeline inspection gauge (PIG). This was followed by "Robust and Unbiased Estimation of Robot Pose and Pipe Diameter for Natural Gas Pipeline Inspection Using 3D Time-of-Flight (ToF) Sensors" (2025, 6 citations), which enhanced the reliability of these estimations. His work on "Improving Localization Accuracy of Offline Navigation Algorithms for Intelligent Pipeline Inspection Gauges" (2025, 3 citations) further demonstrates his commitment to refining the precision of robotic navigation in complex pipeline networks. Jeong’s research is foundational for the next generation of autonomous pipeline inspection robots.