Dae Hee Won

About

Dae Hee Won is a pioneering researcher in unmanned aerial and ground vehicle navigation, with a focus on robust control and sensor fusion for autonomous systems. His most influential work, the 2005 paper on RIC (robust internal-loop compensator) based flight control for quad-rotor UAVs (54 citations), introduced a hovering robot system designed for disaster response, such as indoor fire detection. This foundational contribution advanced the stability and reliability of quad-rotor platforms in challenging environments. Won further enhanced inertial navigation performance by integrating magnetometer data with vehicle dynamic constraints (31 citations), significantly improving ground vehicle positioning accuracy. His research also explored vision-based SLAM and distributed filters to boost mobile robot navigation in GPS-denied settings (17 citations), addressing critical challenges in indoor and subterranean operations. Through these innovations, Won has shaped practical solutions for autonomous navigation, bridging the gap between theoretical control algorithms and real-world deployment. His work remains a key reference for engineers developing resilient, perception-driven robotic systems for hazardous and infrastructure-limited scenarios.

Research Focus

Key Achievements

Top Papers

1. 1
   RIC (robust internal-loop compensator) based flight control of a quad-rotor type UAV

   54 citations · 2005
2. 2
   Performance Improvement of Inertial Navigation System by Using Magnetometer with Vehicle Dynamic Constraints

   31 citations · 2015
3. 3
   Improving mobile robot navigation performance using vision based SLAM and distributed filters

   17 citations · 2008
4. 4
   Integration of Vision based SLAM and Nonlinear Filter for Simple Mobile Robot Navigation

   4 citations · 2008
5. 5
   Development of a Hovering Robot System for Calamity Observation

   3 citations · 2005

Key Collaborators

Contact & Links