Hello, I’m Dong-Uk Seo, Ph.D. candidate in KAIST.
Office: KAIST Urban Robotics Lab (URL)
E-mail: dongukseo@kaist.ac.kr
I’m currently interested in research to enable SLAM to be applied in social industries in a practical view.
Specifically striving to research LiDAR-Visual-Inertial fusion SLAM, aiming for long-term autonomy that is robust to environmental changes.
Also, the process collaborated with multi-agent and localization in the dense map representation are of my interests.
- LiDAR-Visual-Inertial SLAM framework.
- Multi-agent collaborated localization and map reconstruction.
- Robustness for environmental changes utilizing deep learning.
EDUCATION
- KAIST, South Korea (Mar. 2023 ~ )
- Ph.D. candidate in Department of Electrical Engineering
- KAIST, South Korea (Mar. 2021 ~ Feb. 2023)
- M.S. candidate in Department of Electrical Engineering
- Yonsei University, South Korea (Mar. 2014 ~ Aug. 2020)
- Bachelor’s Degree in Department of Electrical & Electronic Engineering
PUBLICATION
-
Enhancing Robustness of Line Tracking Through Semi-Dense Epipolar Search in Line-based SLAM
Dong-Uk Seo, HYUNGTAE LIM, Eungchang Mason Lee, Hyunjun Lim, Hyun Myung
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023 accepted) -
PaGO-LOAM: Robust Ground-Optimized LiDAR Odometry (Best paper finalist)
Dong-Uk Seo*, Hyungtae Lim*, Seungjae Lee, Hyun Myung
Int’l Conf. on Ubiquitous Robots (UR 2022) -
Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM
Jinwoo Jeon, Hyunjun Lim, Dong-Uk Seo, Hyun Myung
The IEEE Robotics and Automation Letters (RA-L 2022) -
QR-SCAN: Traversable Region Scan for Quadruped Robot Exploration using Lightweight Precomputed Trajectory
EungChang Mason Lee, DongUk Seo, JinWoo Jeon, and Hyun Myung
The 21st International Conference on Control, Automation and Systems (ICCAS 2021)