Dae-Seop Jung

Papers

Total Citations

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About

Dae-Seop Jung is a researcher in robotics and autonomous systems, with a focus on mobile robot localization and environmental mapping. His work centers on enhancing the accuracy and reliability of robot navigation through sensor fusion and computer vision techniques. Jung’s most cited paper, “A Study on the Improved Localization of a Mobile Robot by using Scale Invariant Feature and Odometry” (2007), introduces a method that combines scale-invariant feature extraction from a monocular camera with odometry data to refine a robot’s position estimation. This approach addresses a fundamental challenge in autonomous navigation: building consistent maps while tracking location in real time. Although his citation count is modest, Jung’s contribution lies in advancing practical localization strategies that integrate visual features with motion sensors, a concept foundational to modern SLAM (Simultaneous Localization and Mapping) systems. His work underscores the importance of robust feature matching in dynamic environments, offering insights for students and researchers developing cost-effective, vision-based navigation solutions for mobile robots.