Kyunghyun Lee

Seoul National University, Korea Advanced Institute of Science and Technology, Sungkyunkwan University, University of Seoul

Papers

Total Citations

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About

Kyunghyun Lee’s research lies at the intersection of multi-robot systems, computer vision, and autonomous navigation, with a focus on enabling intelligent cooperation in complex, real-world environments. His most influential work, “Formation Flight of Multiple UAVs via Onboard Sensor Information Sharing” (2015, 34 citations), addresses a fundamental challenge in aerial robotics: how multiple drones can maintain coordinated flight using only shared sensor data, without relying on external infrastructure. This contribution is critical for applications such as environmental monitoring and disaster response. Lee further advanced vision-based robotics with his 2020 work on “CNN-Based Simultaneous Dehazing and Depth Estimation” (21 citations), which tackles the dual problem of restoring visibility and estimating depth in hazy scenes—a notoriously difficult task for autonomous systems operating in adverse weather. His iterative solution for relative localization in cooperative multi-robot systems (2017) and model-driven development environment for industrial control applications (2018) demonstrate a commitment to both theoretical rigor and practical deployment. With a growing citation record and a portfolio spanning perception, control, and software engineering, Lee’s work is shaping the future of resilient, cooperative autonomous systems.