Jae-Seong Yoon
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jae-Seong Yoon is a researcher specializing in 3D LiDAR-based perception systems for autonomous navigation and human-robot interaction. His work focuses on solving critical challenges in dynamic indoor environments, particularly the accurate recognition and tracking of humans using 3D LiDAR sensors. In his most-cited paper (2020, 4 citations), Yoon addresses a fundamental issue in point cloud clustering: the misclassification of walls and people when using Euclidean distance-based methods. By proposing refined clustering and tracking algorithms for narrow indoor spaces, his research directly improves the reliability of autonomous systems in cluttered, real-world settings. Though early in his career, Yoon’s contributions are vital for advancing safe human-robot coexistence in confined areas like corridors and warehouses. His work lays the groundwork for more robust perception pipelines, enabling robots to distinguish between static obstacles and moving humans—a key step toward fully autonomous indoor navigation.
Research Focus
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Top Papers
- 1