Woojin Jeong
Papers
2
Total Citations
5
H-Index
2
About
Woojin Jeong is a researcher whose work spans the critical intersection of autonomous systems and cybersecurity, addressing challenges in both physical perception and digital safety. His primary research areas include computer vision for transparent object recognition and intrusion detection for vehicular networks. In his notable 2024 paper, "Transparent Object Depth Reconstruction Framework for Mixed Scenes with Transparent and Opaque Objects," Jeong tackles the fundamental challenge of enabling autonomous robots to perceive transparent materials—objects that confound standard sensors due to light refraction and partial transmission. This work, which has already garnered 3 citations, is essential for advancing robotic manipulation in everyday environments. Complementing this, Jeong's 2021 study on "Autocorrelation-based Intrusion Detection System for Controller Area Network (CAN)" addresses the critical need for securing cyber-physical systems like vehicles and robots against malfunctions. With 2 citations, this research contributes to protecting systems where failures directly impact human safety. Together, these contributions demonstrate Jeong's dual commitment to enhancing both the perceptual capabilities and the security of autonomous systems, making his work relevant for researchers developing safer, more capable robots and connected vehicles.
Research Focus
Key Achievements
Top Papers
- 1
- 2