Nguyen Xuan Dao

Korea Institute of Science and Technology

Papers

Total Citations

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About

Nguyen Xuan Dao is a pioneer in vision-based navigation for indoor mobile robots, specializing in efficient, real-time localization using minimal visual cues. His core research focuses on enabling robots to determine their position and navigate autonomously using only a single camera, without reliance on expensive sensors or artificial markers. Dao’s major contribution lies in developing simple, linear algorithms that extract natural landmarks—such as door edges, table lines, and baseboards—from a single video feed. His 2005 paper on visual navigation (22 citations) introduced a method combining localization with planar region extraction using just two pairs of natural lines and points, dramatically reducing computational load. Earlier work in 2004 (18 citations) established a robust tracking framework for natural line landmarks, while a 2005 follow-up (10 citations) integrated Lucas-Kanade optical flow for landmark tracking. Collectively, these papers have garnered over 50 citations, demonstrating their foundational impact on low-cost, vision-only robot navigation. Dao’s elegant, minimalist approach—achieving reliable self-localization with minimal data—has made his work a key reference for researchers developing affordable, camera-based mobile robots for indoor environments.