Hyukseong Kwon
Purdue University West Lafayette, United States Air Force Academy
Papers
5
Total Citations
142
H-Index
4
About
Hyukseong Kwon is a leading researcher in autonomous robotics, specializing in multi-agent perception and cooperative localization for heterogeneous unmanned systems. His work bridges the gap between unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs), enabling them to work in tandem for complex tasks like target tracking and 3D mapping. Kwon’s most cited paper (90 citations) introduces a novel person-tracking algorithm for mobile robots using two uncalibrated, independently moving cameras, a foundational contribution to vision-based robotics. He further advanced the field by developing a hierarchical sensor fusion architecture for building 3D visual maps of interior spaces (30 citations) and pioneering cooperative target localization strategies that integrate UAVs and UGVs into a unified sensor network. His work on feature-based ground target localization from UAV imagery, which uses propagated initializations and interframe homographies, addresses critical challenges in aerial surveillance. Kwon’s research has direct applications in military intelligence, surveillance, and reconnaissance (ISR), where his cooperative autonomous systems enhance real-time remote sensing capabilities. With a focus on robust, uncalibrated vision systems and multi-robot coordination, Kwon’s contributions continue to shape the future of autonomous exploration and cooperative robotics.
Research Focus
Key Achievements
Top Papers
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