Dongjin Cho
Papers
1
Total Citations
9
H-Index
1
About
Dongjin Cho is a researcher advancing the field of autonomous maritime robotics, with a primary focus on object detection, tracking, and safe navigation in complex coastal environments. His most notable contribution is the creation of the PoLaRIS Dataset, a specialized maritime object detection and tracking dataset collected in the Pohang Canal. This work addresses the critical challenge of identifying hazardous objects—such as moving ships and wave-influenced buoys—that pose risks to marine robotic platforms. The dataset, published in 2025 and already garnering 9 citations, provides a benchmark for developing robust perception systems capable of operating under the dynamic and unpredictable conditions of real-world waterways. By enabling more reliable detection and tracking of obstacles, Cho’s research directly supports the safe deployment of autonomous vessels in congested or hazardous maritime zones. His work is particularly valuable for students and researchers working on sensor fusion, deep learning for marine environments, and autonomous navigation systems, offering both a practical resource and a foundation for future innovations in maritime safety.
Research Focus
Key Achievements
Top Papers
- 1