Seoungjun Lee
Papers
1
Total Citations
87
H-Index
1
About
Seoungjun Lee is a pioneering researcher in robot-assisted disaster management, with a focus on leveraging drone technology for search and rescue operations. His key research areas include sensor fusion, autonomous navigation, and human-robot interaction in emergency scenarios. Lee’s most notable contribution is his seminal 2016 paper, "Drone-Assisted Disaster Management: Finding Victims via Infrared Camera and Lidar Sensor Fusion," which has garnered 87 citations and established a foundational framework for using compact drones to locate survivors in confined spaces like collapsed buildings or underground areas. By integrating infrared and lidar sensors, Lee demonstrated how drones can overcome visibility and accessibility challenges, significantly improving detection accuracy in post-disaster environments. His work has influenced the development of more efficient, real-time victim localization systems, earning recognition for its practical impact on humanitarian robotics. Lee’s research continues to inspire advancements in autonomous disaster response, bridging the gap between theoretical robotics and life-saving field applications.
Research Focus
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Top Papers
- 1