Ephemerality meets LiDAR-based Lifelong Mapping, IEEE International Conference on Robotics and Automation (ICRA), 2025
HeLiPR: Heterogeneous LiDAR dataset for inter-LiDAR place recognition under spatiotemporal variations, The International Journal of Robotics Research, 2024
LiDAR odometry survey: recent advancements and remaining challenges, Intelligent Service Robotics, 2024
The City that Never Settles: Simulation-based LiDAR Dataset for Long-Term Place Recognition Under Extreme Structural Changes, 4th Workshop on Future of Construction, ICRA, 2025 (Best research award)
ConPR: Ongoing Construction Site Dataset for Place Recognition, Workshop on Closing the Loop on Localization, IROS, 2023 (Best overall presentation award)
Tightly-coupled gnss-lidar-inertial state estimator for mapping and autonomous driving, The Journal of Korea Robotics Society, 2023 (Best paper award)
Research Experience
Member of the RPM Robotics lab.
Education
Ph.D. student in Mechanical Engineering at Seoul National University, advised by Prof. Ayoung Kim.
Background
I am a first-year Ph.D. student in Mechanical Engineering at Seoul National University, advised by Prof. Ayoung Kim. My research interests include LiDAR-based Simultaneous Localization and Mapping (SLAM), Lifelong Mapping, and Global Localization, with a focus on developing robust and efficient algorithms for autonomous navigation and mapping in dynamic environments. I am particularly interested in leveraging multi-session sensor data with temporal variations for reliable autonomy.
Miscellany
Personal links: Email, Google Scholar, Github, LinkedIn