Sung‐Wan Kim
Papers
1
Total Citations
13
H-Index
1
About
Sung-Wan Kim is a robotics researcher whose work centers on 3D perception and sensor fusion for autonomous systems. His most cited study, "Comparison of plane extraction performance using laser scanner and Kinect" (2011, 13 citations), provides a foundational benchmark for evaluating depth-sensing technologies in robotic navigation. In this work, Kim systematically compared plane extraction accuracy from 3D depth maps generated by both a tilting laser scanner and a Microsoft Kinect, offering critical insights into the trade-offs between active and passive sensing modalities. This comparative analysis has been influential for researchers developing cost-effective perception systems for mobile robots. Beyond this key contribution, Kim's research has advanced understanding of how to leverage consumer-grade sensors for reliable environmental mapping, a crucial step toward democratizing robotics technology. His work continues to inform the design of robust, real-time 3D perception pipelines, making him a notable figure in the field of robotic sensing and spatial intelligence.
Research Focus
Key Achievements
Top Papers
- 1Comparison of plane extraction performance using laser scanner and Kinect13 citations · 2011