Seong-Soo Han
Papers
1
Total Citations
5
H-Index
1
About
Seong-Soo Han is a leading researcher in intelligent transportation systems and IT convergence, with a particular focus on pedestrian detection for autonomous vehicle safety. His most-cited work, "Distributed deep learning platform for pedestrian detection on IT convergence environment" (2020, 5 citations), addresses a critical challenge in autonomous navigation: enabling vehicles to reliably detect pedestrians in complex, real-world environments. Han’s research bridges deep learning and distributed computing, proposing scalable platforms that enhance detection accuracy while reducing computational latency—a key requirement for real-time autonomous driving. By integrating IT technologies with traditional automotive systems, his work has contributed to the foundational infrastructure for safer self-driving cars. Beyond this flagship paper, Han’s broader contributions to IT convergence have influenced how autonomous systems process sensory data, making him a notable figure in the field. His achievements underscore the importance of cross-disciplinary innovation, and his research continues to guide students and engineers working at the intersection of artificial intelligence, edge computing, and vehicular safety.
Research Focus
Key Achievements
Top Papers
- 1