Jung-Il Ham
Papers
1
Total Citations
4
H-Index
1
About
Jung-Il Ham is a pioneering researcher in visual navigation and structural scene understanding, whose work bridges the gap between 2D and 3D robotic perception. His key research areas include visual compass estimation, structural regularity exploitation, and urban navigation for autonomous systems. Ham’s most notable contribution is the introduction of the “San Francisco World” (SFW) model, a novel structural framework inspired by San Francisco’s iconic hilly terrain. This model leverages the geometric regularities of slopes to enable 3-degree-of-freedom (3-DoF) visual compass estimation, allowing robots to navigate not just within a single floor (2D intra-floor) but across multiple floors (3D inter-floor) in complex urban environments. His 2024 paper on this work has already garnered 4 citations, signaling growing recognition in the robotics community. By challenging the conventional assumption of flat, Manhattan-like worlds, Ham’s research opens new pathways for autonomous navigation in cities with varied topography. His work is particularly impactful for drones, delivery robots, and augmented reality systems operating in real-world, non-planar settings.
Research Focus
Key Achievements
Top Papers
- 1