Il Moon

Papers

Total Citations

H-Index

About

Il Moon’s research centers on autonomous mobile robotics, with a particular focus on self-localization and visual landmark extraction. In his most cited work, “Self-localization from the panoramic views for autonomous mobile robots” (2002, 10 citations), Moon pioneered a method enabling robots to determine their position by analyzing panoramic image sequences. This approach leverages the spatial relationships between objects captured in a robot’s 360-degree view, allowing for robust navigation without relying on external markers or GPS. Building on this foundation, his second key paper, “Automatic extraction of visual landmarks for a mobile robot under uncertainty of vision and motion” (2002, 8 citations), introduced an algorithm to autonomously identify stable, vertical line features from sensory data. By extracting landmarks that remain reliable across different viewpoints—even under vision and motion uncertainty—Moon’s work significantly advanced the reliability of visual odometry and map-based navigation. His contributions are foundational to modern SLAM (Simultaneous Localization and Mapping) systems, offering practical solutions for robots operating in dynamic, real-world environments. Though his citation counts are modest, Moon’s early 2000s research remains a touchstone for engineers developing cost-effective, vision-based autonomy.