Sunghwan Jeong

Papers

Total Citations

H-Index

About

Sunghwan Jeong is a researcher whose work lies at the intersection of intelligent robotics, electric vehicle (EV) infrastructure, and computer vision. His primary research focuses on developing autonomous systems for EV charging, with a particular emphasis on robust 3D perception and docking methods. In his most-cited work, "Electric Vehicle Charging Terminal 3D Docking Method Using Stereo Camera" (2021), Jeong proposed a novel approach that leverages stereo camera technology to enable precise, three-dimensional alignment between charging robots and vehicle ports. This contribution addresses a critical bottleneck in the commercialization of automated EV charging, where accuracy and reliability are paramount. Though his citation count is currently modest, Jeong’s work is foundational in a rapidly expanding field—smart EV infrastructure—and his methodology has direct implications for reducing human intervention in charging logistics. His research bridges practical engineering challenges with emerging trends in battery-based electric drive platforms and intelligent control, positioning him as a forward-thinking contributor to the next generation of autonomous mobility services.