Ye Eun Lim
Papers
1
Total Citations
6
H-Index
1
About
Ye Eun Lim is a researcher advancing the field of autonomous mobile robotics, with a primary focus on efficient 3D point cloud processing. Her key research areas include trajectory-based region-of-interest (ROI) determination and data reduction techniques for robotic perception systems. Her most cited work, "Trajectory-Based 3D Point Cloud ROI Determination Methods for Autonomous Mobile Robot" (2023), addresses a critical challenge in robotics: the computational burden and storage demands of high-resolution 3D data from depth cameras and LiDAR. By developing preprocessing methods that intelligently identify and retain only relevant spatial regions, Lim’s contributions enable faster, more resource-efficient navigation for autonomous systems. This work has garnered 6 citations, reflecting its practical relevance in a rapidly evolving field. Her research is particularly impactful for real-time applications where computational efficiency is paramount, such as in autonomous vehicles and mobile robots operating in dynamic environments. Lim’s focus on balancing data fidelity with processing speed positions her as a promising contributor to scalable robotic perception.
Research Focus
Key Achievements
Top Papers
- 1