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Author

Seongbo Ha

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Open access Sep 2026

BayesianGS-SLAM: Uncertainty-Aware Neural Rendering SLAM via Probabilistic Formulation

Neural-rendering-based SLAM relies on rendered RGB-D residuals for camera tracking and map optimization, but the reliability of these predictions can vary substantially because of sensor noise, limited observation coverage, and incomplete map representations. Without an explicit reliability estimate, unreliable residua...

Kyeongsu Kang, Seongbo Ha, Sibaek Lee et al. · 0 citations
Preprint Oct 2026

Training-Free Target-Aware Refinement of 3D Gaussian Language Map

Distilling vision-language features into 3D Gaussian Splatting yields a language map that can be queried with arbitrary text. In deployment, however, a small set of user-specified targets must be reliably located, which current distilled maps often miss, while open-vocabulary queryability for other words must remain in...

Sibaek Lee, Kyeongsu Kang, Seongbo Ha et al. · 0 citations

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