Seongwook Lee

Korea Aerospace University, Chapingo Autonomous University

Papers

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About

Seongwook Lee is a leading researcher in radar-based autonomous navigation, specializing in frequency-modulated continuous wave (FMCW) radar systems for indoor robotics. His work centers on developing dual-mode radar sensors and algorithms that enable robots to map environments and estimate their own motion using radar alone—eliminating the need for additional inertial sensors. Lee’s major contributions include the design of a 62 GHz FMCW multiple-input multiple-output radar for indoor mapping, which has garnered 24 citations, and a novel ego-motion estimation method for simultaneous localization and mapping (SLAM), cited 13 times. His 2022 study on ego-position estimation further advances radar-only self-localization, achieving 2 citations. By integrating radar detection with motion inference, Lee’s research reduces hardware complexity and cost, making autonomous robots more robust in low-visibility conditions. His work is foundational for students and engineers developing sensor-efficient SLAM systems, pushing the boundaries of radar’s role in robotics.