Jieum Hyun

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Jieum Hyun is a robotics researcher specializing in sensor fusion, localization, and autonomous systems for challenging environments. Her work focuses on enhancing robot perception and navigation where traditional sensors fail, particularly in indoor and outdoor settings with limited visibility or GNSS denial. Her most cited paper, "NR-UIO: NLOS-Robust UWB-Inertial Odometry Based on Interacting Multiple Model and NLOS Factor Estimation" (2021, 9 citations), introduces a novel approach to ultra-wideband (UWB) and inertial odometry fusion that robustly handles non-line-of-sight (NLOS) conditions—a critical challenge for indoor robot localization. This work demonstrates her ability to develop practical, resilient algorithms for real-world deployment. Hyun also contributed to structural inspection robotics with "Vertical thrusting unmanned surface vehicle for stable and close inspection of bridge structure" (2016, 3 citations), designing a specialized unmanned surface vehicle (USV) capable of stable attachment to bridge columns despite water tides and spray, addressing a dangerous task for human inspectors. Additionally, her research on "Adaptive Planar Vision Marker Composed of LED Arrays for Sensing Under Low Visibility" (2018, 2 citations) tackles visual sensing in degraded environments. Through these contributions, Hyun advances the reliability and applicability of autonomous robots in infrastructure inspection and indoor navigation, with her work gaining traction in the robotics community.