Ongoing Funded Projects
If you are interested in these projects, please feel free to contact our lab.
Underwater Cultural Heritage Exploration
Funding: National Heritage Administration
Consortium: Inha University, Korea Aerospace University, Keimyung University, and KAIST
This project develops an AI-based exploration framework for underwater cultural heritage using multi-sensor data processing and cooperative autonomous navigation of multiple unmanned surface vehicles. While historical records suggest that many trading vessels were wrecked in Korean waters, only a few sites have been discovered, mostly through accidental findings during fishing activities. To move beyond such chance-based discovery, this project aims to enable systematic detection of shipwreck candidates from large-scale sonar data. The problem can be framed as identifying out-of-distribution targets from massive marine sensor observations, opening new research directions in anomaly detection, data-centric AI, and marine robotics. Related efforts such as AI4Shipwrecks highlight the growing global interest in this area, while Korea still needs locally relevant datasets and AI methods tailored to domestic marine environments.
State Estimation and Filtering for Marine Dynamic Positioning
Funding: KRISO
This project investigates advanced state estimation and filtering for intelligent dynamic positioning of marine platforms under environmental disturbances and sensor uncertainty. The research focuses on Lie group-based estimation and dynamic control for nonlinear marine systems, together with AI-based parameter tuning for adaptive filtering, to improve robustness, accuracy, and real-time reliability in offshore operations. Related work such as DRIFT reflects recent advances in this direction.