A sonar-GPS fusion system using FMT local alignment and EKF global optimization reduces mapping drift by 9.5% versus baseline and achieves sub-meter accuracy in oyster farm field trials.
Distinctive image features from scale-invariant key- points,
2 Pith papers cite this work. Polarity classification is still indexing.
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LSGS-Loc delivers state-of-the-art accuracy and robustness for 3DGS-based visual localization in large UAV scenes via scale-aware initialization and reliability masking without scene-specific training.
citing papers explorer
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Sonar-GPS Fusion for Seabed Mapping in Turbid Shallow Waters with an Autonomous Surface Vehicle
A sonar-GPS fusion system using FMT local alignment and EKF global optimization reduces mapping drift by 9.5% versus baseline and achieves sub-meter accuracy in oyster farm field trials.
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LSGS-Loc: Towards Robust 3DGS-Based Visual Localization for Large-Scale UAV Scenarios
LSGS-Loc delivers state-of-the-art accuracy and robustness for 3DGS-based visual localization in large UAV scenes via scale-aware initialization and reliability masking without scene-specific training.