Seongjun Kim

Graduate Student · POSTECH

Computational Control Engineering Lab (CoCEL), Pohang University of Science and Technology (POSTECH), Pohang, South Korea

Hi! I'm Seongjun, a graduate researcher working on SLAM (Simultaneous Localization and Mapping) — including LiDAR-inertial(-visual) odometry, place recognition, and robust state estimation in challenging environments.

I'm currently an M.S. student at POSTECH, in the Computational Control Engineering Lab (CoCEL). Feel free to reach out about collaborations, ideas, or anything in between.

Education

Feb 2025 – Feb 2027 (expected) Pohang University of Science and Technology (POSTECH)
M.S. Student, Electrical Engineering
Mar 2020 – Feb 2025 Ajou University
B.S. in Electrical and Computer Engineering

News

Oct 2026 Our paper “PRISM-LIVO: Projectively Stable LiDAR-Inertial-Visual Odometry with Localizability-Informed Regularization” was accepted to IEEE Robotics and Automation Letters (RA-L). 🎉
Oct 2026 Our paper “ALIVE-LIO: Degeneracy-Aware Learning of Inertial Velocity for Enhancing ESKF-Based LiDAR-Inertial Odometry” was accepted to IEEE Transactions on Intelligent Transportation Systems (T-ITS). 🎉
Oct 2026 Our paper “GenZ-LIO: Generalizable LiDAR-Inertial Odometry Beyond Confined–Open Boundaries” was accepted to IEEE Transactions on Field Robotics (T-FR). 🎉
Jul 2026 Our paper “Time-to-Collision Aware Autonomous Driving Motion Control under Risky Scenario Considerations” was accepted to IEEE Transactions on Vehicular Technology (T-VT). 🎉
Jun 2026 Launched my personal portfolio site. 🎉

Publications

Time-to-Collision Aware Autonomous Driving Motion Control under Risky Scenario Considerations

Seongjun Kim, Junyoung Kim, Joongheon Kim, Soyi Jung

IEEE Transactions on Vehicular Technology (T-VT), 2026, pp. 1–16 (Early Access; Impact Factor: 7.5)

IEEE
PRISM-LIVO: Projectively Stable LiDAR-Inertial-Visual Odometry with Localizability-Informed Regularization

Seongjun Kim, Soohee Han

IEEE Robotics and Automation Letters (RA-L), 2026 (accepted; Impact Factor: 5.3)
ALIVE-LIO: Degeneracy-Aware Learning of Inertial Velocity for Enhancing ESKF-Based LiDAR-Inertial Odometry

Seongjun Kim, Daehan Lee, Junwoo Hong, Sanghyun Park, Hyunyoung Jo, Soohee Han

IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2026 (accepted; Impact Factor: 9.1)

arXiv Code
GenZ-LIO: Generalizable LiDAR-Inertial Odometry Beyond Confined–Open Boundaries

Daehan Lee, Hyungtae Lim, Seongjun Kim, Soonbin Rho, Changhyeon Lee, Sanghyun Park, Junwoo Hong, Eunseon Choi, Hyunyoung Jo, Soohee Han

IEEE Transactions on Field Robotics (T-FR), 2026 (accepted)

arXiv
Query-Centric Structural Transformer for Cross-Source Robust Place Recognition

Sangyeon So^*, Seongjun Kim^*, Sanghyun Lee, Ilsoo Yoon, Soomok Lee

^* Equally contributed.

IEEE Access, 2025 (Impact Factor: 3.6)

IEEE
심층 강화학습 기반 하이브리드 액션을 이용한 자율주행 차량의 고속도로 주행 판단 연구

김성준, 신규민, 전준서, 방지윤, 김준영, 정소이

한국통신학회논문지 (KICS), 49(12), 1671–1684, 2024

DBpia

Honors & Awards

Dec 2024 Grand Prize, Industry–Academia Expo, Department of Electrical and Computer Engineering, Ajou University
Time-to-collision-aware autonomous driving motion control (same topic as the IEEE T-VT paper)
Dec 2023 Bronze Prize, Gyeonggi-do Autonomous Driving Data Utilization Competition (hosted by Gyeonggi-do Autonomous Driving Center)
NDT map-matching-based localization

Projects

Undergraduate Researcher — Automatic Control Laboratory (ACL), Ajou University

Sep 2023 – May 2024

Ported a collision-judgment algorithm to an embedded platform and managed the data acquisition (DAQ) system.

Creative Mobility Competition

Jul 2023 – Oct 2023

Responsible for decision-making and control of the autonomous mobility platform.