Guntae Kim

Papers

Total Citations

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About

Guntae Kim is a rising researcher in autonomous vehicle systems, with a focus on integrating hardware-in-the-loop simulation with real-time control architectures. His most-cited work, "Autonomous Vehicle Control Using CARLA Simulator, ROS, and EPS HILS" (2025, 4 citations), introduces a novel method for linking the high-fidelity CARLA driving simulator with the Robot Operating System (ROS) and electronic power steering (EPS) hardware-in-the-loop systems. This contribution bridges the critical gap between software-based autonomy and physical vehicle dynamics, enabling more realistic testing of steering control algorithms before deployment. While early in his citation trajectory, Kim's work addresses a key bottleneck in autonomous driving research—validating control systems under realistic, non-ideal conditions. His approach offers a scalable framework for researchers and engineers developing robust autonomous platforms, particularly in scenarios requiring precise steering response. As the autonomous vehicle field accelerates toward production-ready systems, Kim's integration methodology stands out for its practical emphasis on hardware fidelity, marking him as a promising contributor to the next generation of self-driving technology.