Moon Yeol Baek
Papers
1
Total Citations
11
H-Index
1
About
Moon Yeol Baek is a researcher whose work has advanced the field of autonomous mobile robotics, with a particular focus on stereo vision and navigation in uncertain environments. His most cited paper, "Multi-Range approach of stereo vision for mobile robot navigation in uncertain environments" (2003), has garnered 11 citations, establishing a foundation for robust perception systems that enable robots to interpret complex, unpredictable surroundings. Baek’s key contributions lie in developing multi-range stereo vision techniques that enhance depth perception and obstacle avoidance, critical for real-world deployment of autonomous systems. His research addresses the challenge of integrating visual data from varying distances to improve navigation reliability, a problem central to fields like field robotics and autonomous vehicles. While his citation count reflects a focused but impactful body of work, Baek’s approach has influenced subsequent studies in adaptive vision algorithms and sensor fusion. His achievements demonstrate a commitment to practical solutions for mobile robot autonomy, bridging the gap between theoretical computer vision and engineering applications. For students and researchers exploring stereo vision or robot navigation, Baek’s work offers a clear example of how targeted multi-range strategies can solve real-world uncertainty in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1