Jung-yup Lee
Papers
1
Total Citations
5
H-Index
1
About
Jung-yup Lee is a robotics researcher whose work centers on sensor fusion and autonomous navigation for mobile robots. His most-cited contribution, "Sensor fusion-based line detection for unmanned navigation" (2010), introduces a robust algorithm that integrates vision sensors and laser range finders (LRF) to reliably detect lines—critical for robot positioning and path planning. By employing separate extended Kalman filters for each sensor system, Lee’s approach enhances accuracy and resilience in dynamic environments, addressing a fundamental challenge in unmanned navigation. Though his citation count (5) reflects a focused, early-career impact, this work demonstrates a practical, systems-level approach to sensor integration that is foundational for autonomous vehicle and robotics applications. Lee’s research contributes to the broader goal of enabling robots to perceive and navigate unstructured spaces with greater reliability, making his work relevant for students and researchers exploring multi-sensor fusion, state estimation, and real-time robotic control.
Research Focus
Key Achievements
Top Papers
- 1Sensor fusion-based line detection for unmanned navigation5 citations · 2010