Seungho Hyeong
Papers
1
Total Citations
16
H-Index
1
About
Seungho Hyeong is a researcher whose work lies at the critical intersection of autonomous navigation and sensor fusion, with a particular focus on the challenges posed by urban environments. His key research areas include ego-motion estimation, GNSS modeling, and the practical deployment of autonomous vehicle technologies. Hyeong’s major contribution is his pioneering approach to modeling GNSS performance in real-world, degraded conditions—such as urban canyons and tunnels—where satellite signals are often unreliable. His most-cited paper, "Practical Modeling of GNSS for Autonomous Vehicles in Urban Environments" (2019), has garnered 16 citations and provides a foundational framework for simulating and compensating for GNSS errors, enabling more robust localization systems. This work is instrumental for engineers developing agricultural robots and autonomous cars that must navigate complex, dynamic settings. By bridging the gap between theoretical sensor models and practical implementation, Hyeong has helped advance the reliability of autonomous navigation, making his research a valuable resource for students and professionals tackling the real-world challenges of self-driving technology.
Research Focus
Key Achievements
Top Papers
- 1Practical Modeling of GNSS for Autonomous Vehicles in Urban Environments16 citations · 2019