Jeonghwan Park

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Jeonghwan Park is a leading researcher in autonomous aerial robotics, with a focus on vision-based deep learning and mechanical systems for unmanned aerial vehicles (UAVs). His most notable contribution is the development of an automated aerial docking system, which integrates a docking mechanical subsystem with a cutting-edge vision-based deep learning detection and tracking framework. This work addresses a fundamental challenge in mid-air UAV operations, enabling precise and reliable docking without human intervention. Park’s research has garnered significant attention, with his seminal 2022 paper accumulating 24 citations, reflecting its impact on advancing autonomous drone capabilities. His innovative approach combines robust mechanical design with state-of-the-art AI, paving the way for applications in persistent surveillance, battery swapping, and collaborative drone swarms. Park’s achievements highlight his expertise in bridging hardware and software for real-world aerial systems, making him a key figure in the evolution of autonomous UAV technology.