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Gihyeon Lee

3 accepted papers

2026

MSG-Loc: Multi-Label Likelihood-Based Semantic Graph Matching for Object-Level Global Localization

RA-L 2026

Robots are often required to localize in environments with unknown object classes and semantic ambiguity. However, when performing global localization using semantic objects, high semantic ambiguity intensifies object misclassification and increases the likelihood of incorrect associations, which in

Cited by 0SourceScholar
2026

MSG-Loc: Multi-Label Likelihood-Based Semantic Graph Matching for Object-Level Global Localization

ICRA 2026poster

Robots are often required to localize in environments with unknown object classes and semantic ambiguity. However, when performing global localization using semantic objects, high semantic ambiguity intensifies object misclassification and increases the likelihood of incorrect associations, which in…

2025

PoLaRIS Dataset: A Maritime Object Detection and Tracking Dataset in Pohang Canal

ICRA 2025

Maritime environments often present hazardous situations due to factors such as moving ships or buoys, which become obstacles under the influence of waves. In such challenging conditions, the ability to detect and track potentially hazardous objects is critical for the safe navigation of marine robo

Cited by 6SourcecodeScholar