Geon-Hee Kim
Papers
1
Total Citations
23
H-Index
1
About
Geon-Hee Kim is a researcher in autonomous vehicle systems, with a primary focus on path planning and control for safe and comfortable self-driving technologies. His most cited work, "Path Planning Based on Obstacle-Dependent Gaussian Model Predictive Control for Autonomous Driving" (2021, 23 citations), introduces a novel approach that integrates obstacle-dependent Gaussian functions with model predictive control to generate optimal, collision-free trajectories. This contribution addresses the critical trade-off between driving safety and passenger comfort, proposing a framework that dynamically adapts to surrounding obstacles. Kim’s research is particularly notable for bridging theoretical control methods with practical autonomous driving applications, offering a pathway toward more responsive and human-friendly vehicle behavior. His work has been recognized within the autonomous driving community for its innovative integration of predictive control and environmental awareness. By advancing path planning methodologies, Kim contributes to the broader goal of deploying reliable autonomous systems that can navigate complex, real-world environments while ensuring passenger confidence and ride quality.
Research Focus
Key Achievements
Top Papers
- 1