Papers
1
Total Citations
15
H-Index
1
About
Do-Un Kim is a robotics researcher whose work focuses on advancing perception and mapping for autonomous aerial systems. His key contributions lie in 3-D dynamic environment modeling, where he developed the kernel-based 3-D dynamic occupancy mapping algorithm (K3DOM), which enables aerial robots to distinguish between static and moving objects in real-time. This work, published in 2021, has garnered 15 citations and addresses the critical challenge of mapping in high-dimensional space-time domains, a significant leap from traditional 2-D static approaches. Kim’s research is particularly notable for integrating particle tracking with occupancy mapping, allowing for robust navigation in cluttered, dynamic environments. His achievements highlight a deep commitment to solving real-world problems in autonomous flight, making his work highly relevant for students and researchers in robotics, computer vision, and aerial vehicle control. By pushing the boundaries of how drones perceive and interact with their surroundings, Kim is helping to lay the groundwork for safer, more intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Kernel-Based 3-D Dynamic Occupancy Mapping with Particle Tracking15 citations · 2021