Chee Sun Won

Dongguk University

Papers

4

Total Citations

31

H-Index

3

About

Chee Sun Won is a researcher specializing in mobile robotics, terrain perception, and 3D environmental modeling. His work focuses on enabling remote operators to make rapid, informed decisions by developing systems that reconstruct and visualize complex outdoor terrains in real time. A key contribution is his method for intuitive terrain reconstruction using height observation-based ground segmentation and 3D object boundary estimation (2012, 16 citations), which produces voxel maps and textured meshes from 2D and 3D sensor data. He also advanced real-time traversable ground surface segmentation for mobile mapping (2014, 8 citations), allowing operators to quickly assess drivable paths. Additionally, his work on complete scene recovery and terrain classification in textured meshes (2012, 4 citations) integrates GPS, gyroscope, and range sensor data to create annotated maps. Beyond terrain analysis, Won has explored intelligent mobile robot control via voice commands (2012, 3 citations), broadening human-robot interaction. His research directly supports autonomous navigation and remote operation, with applications in search-and-rescue, exploration, and field robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
31
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Intuitive Terrain Reconstruction Using Height Observation-Based Ground Segmentation and 3D Object Boundary Estimation
16 citations · 2012
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Dongguk University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago