Jung‐Hwan Ko
Papers
3
Total Citations
16
H-Index
2
About
Jung-Hwan Ko is a researcher specializing in intelligent robotics, computer vision, and autonomous navigation systems. His work focuses on developing real-time, stereo camera-based solutions for mobile robot path planning, target detection, and 3D spatial mapping. Ko’s major contributions include a novel system for path planning using stereo camera geometry to track moving persons, and an automatic unmanned ground vehicle system for adaptive target detection that discriminates 3D objects from backgrounds. He also advanced autonomous navigation by fusing stereo camera depth maps with LiDAR sensor data to create 2D spatial maps, enabling effective obstacle avoidance and intelligent route planning. His most-cited paper (9 citations) introduced a real-time mobile robot system that detects faces via YCbCr color modeling, while his 2020 work on 3D depth maps and object recognition demonstrates continued innovation in sensor fusion. Ko’s research has practical implications for robotics, autonomous vehicles, and surveillance, with his methods enabling more adaptive and efficient machine perception in dynamic environments. His work bridges computer vision and robotics, contributing to safer and more intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Robot Vision System based on 3D Depth map and Object Recognition2 citations · 2020