Ki-Ho Jung

Papers

Total Citations

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About

Ki-Ho Jung is a robotics researcher whose work focuses on advancing autonomous mobile robot navigation and localization. His key research areas include computer vision, feature-based mapping, and sensor fusion for robotic systems. Jung’s major contribution lies in improving localization accuracy for mobile robots by integrating scale-invariant feature extraction with odometry data, enabling more reliable map building and self-positioning in unknown environments. His most cited paper, “A Study on the Improved Localization of a Mobile Robot by using Scale Invariant Feature and Odometry” (2007), demonstrates how a monocular camera can extract robust visual features to correct odometry drift, a critical challenge in autonomous navigation. Though his citation count is modest, this work represents an early effort to combine visual and motion sensors for enhanced robot perception. Jung’s research has practical implications for service robots, autonomous vehicles, and industrial automation, where precise localization is essential. His approach to using single-camera systems for cost-effective navigation solutions highlights his commitment to accessible robotics technology.