Sukyung Son

Korea University of Science and Technology

Papers

Total Citations

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About

Sukyung Son is a robotics researcher whose work centers on sensor fusion and autonomous mobile robot localization, particularly for outdoor environments. Her most-cited paper, "Sensor fusion localization system for outdoor mobile robot" (2009, 27 citations), introduces a pioneering approach that merges two distinct localization models: a camera sensor paired with a particle filter and two GPS sensors integrated with a Kalman filter. This fusion allows the robot to interpret environmental markers—such as lanes, arrows, crosswalks, and speed humps—for more reliable navigation. By combining visual and GPS data, Son’s system significantly enhances the accuracy and robustness of outdoor mobile robot positioning, addressing key challenges in autonomous navigation. Her work has influenced subsequent research in sensor integration for field robotics, with her citation count reflecting its foundational role in this area. Son’s contributions are notable for bridging the gap between theoretical sensor fusion techniques and practical, real-world deployment, making her research a valuable reference for students and engineers developing autonomous systems for complex outdoor terrains.