Ha-Hyoung Jung
Papers
1
Total Citations
6
H-Index
1
About
Ha-Hyoung Jung is a robotics researcher whose work centers on 3D mapping, sensor fusion, and autonomous navigation for mobile robots. His most cited paper, "3D Map Building Using the Kinect Mounted on a Mobile Robot" (2014, 6 citations), introduced a practical method for constructing detailed indoor 3D maps by aligning RGB-D camera data from a Kinect sensor. The approach extracts and matches SURF features from color images to estimate robot motion and build consistent point-cloud maps, addressing key challenges in real-time spatial perception. Jung’s contributions lie in making low-cost, consumer-grade depth sensors viable for robotic mapping, bridging the gap between affordable hardware and reliable 3D reconstruction. His work has influenced subsequent research in simultaneous localization and mapping (SLAM) for indoor environments, particularly in applications requiring dense, textured models. With a focus on practical implementation and sensor integration, Jung’s research continues to support advances in autonomous systems, from service robots to inspection platforms.
Research Focus
Key Achievements
Top Papers
- 13D map building using the kinect mounted on a mobile robot6 citations · 2014