Seong Hun Lee

Papers

Total Citations

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About

Seong Hun Lee is a researcher in robotics and computer vision, with a primary focus on RGB-D odometry and simultaneous localization and mapping (SLAM). His work addresses the fundamental challenge of enabling autonomous systems to navigate and understand their environment using color and depth sensors. Lee’s most-cited paper, "RGB-D Odometry and SLAM" (2019), has garnered 10 citations, reflecting its contribution to the field by synthesizing key methods and challenges in real-time 3D mapping. This work is notable for its comprehensive overview of techniques that integrate visual and depth data, which is critical for applications in mobile robotics, augmented reality, and autonomous driving. While his citation count is modest, the paper serves as a valuable resource for researchers entering the domain, offering a clear entry point into the complexities of sensor fusion and pose estimation. Lee’s research underscores the importance of robust, efficient algorithms for real-world deployment, and his contributions help advance the state of the art in spatial perception and autonomous navigation.