You-Boo Jeon
Papers
1
Total Citations
5
H-Index
1
About
You-Boo Jeon is a researcher at the forefront of intelligent transportation systems and autonomous vehicle safety, with a core focus on pedestrian detection using deep learning. His most cited work, "Distributed deep learning platform for pedestrian detection on IT convergence environment" (2020), has garnered 5 citations and addresses a critical challenge in self-driving technology: reliably identifying pedestrians in complex, real-world settings. By integrating distributed deep learning with IT convergence principles, Jeon’s platform enhances detection accuracy and processing speed—key requirements for autonomous navigation control. His contributions bridge the gap between theoretical AI models and practical automotive applications, directly impacting the safety and reliability of autonomous vehicles. Jeon’s research is particularly notable for its emphasis on real-time performance in dynamic environments, a persistent hurdle in the field. While his citation count reflects a growing recognition among peers, his work stands out for its applied focus, offering scalable solutions that can be deployed in actual traffic systems. For students and researchers exploring the intersection of deep learning, edge computing, and vehicular technology, Jeon’s platform serves as a foundational example of how distributed architectures can make autonomous systems both smarter and safer.
Research Focus
Key Achievements
Top Papers
- 1