Papers
1
Total Citations
23
H-Index
1
About
Dr. Se Jin Lee is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on sensor-based mapping and localization. His most-cited work, "Feature based map building using sparse sonar data" (2005, 23 citations), introduced a groundbreaking model for constructing environmental maps using only minimal sonar data. Dr. Lee developed an innovative arc feature association model that intelligently links two sonar footprints into coherent arc features, enabling robust map building even with sparse, noisy inputs. This approach significantly advanced the field by providing reliable spatial information about feature center regions, overcoming traditional limitations of sonar-based perception. His contributions have been instrumental in improving autonomous robot navigation in unstructured environments, particularly for applications requiring cost-effective sensing solutions. Dr. Lee's work continues to influence modern mapping algorithms and remains a foundational reference for researchers developing efficient, feature-based localization systems for mobile robots operating under sensor constraints.
Research Focus
Key Achievements
Top Papers
- 1Feature based map building using sparse sonar data23 citations · 2005