Suji Jang

Gwangju Institute of Science and Technology

Papers

Total Citations

H-Index

About

Suji Jang is a researcher in robotics and autonomous systems, with a primary focus on visual place recognition (VPR) for self-driving vehicles and mobile robots. Her work addresses a critical challenge in autonomous navigation: enabling machines to accurately recognize and localize themselves in unfamiliar environments using visual data alone. Jang's most-cited paper, "On the Study of Data Augmentation for Visual Place Recognition" (2023), systematically investigates how strategic data augmentation techniques can improve VPR robustness, reducing localization errors that accumulate from visual odometry and preventing the formation of ambiguous environmental maps. This contribution is foundational for developing more reliable autonomous navigation systems in complex, real-world settings. While her citation count is still growing, Jang's research has already drawn attention for its practical implications in robotics engineering, where precise position estimation is essential for safe operation. Her work bridges computer vision and robotics, offering data-driven solutions to long-standing problems in spatial perception. As the field of autonomous driving advances, Jang's insights into data augmentation for VPR are poised to influence both academic research and industrial applications in self-driving technology.