
Our SNI-SLAM leverages multi-modal features to conduct semantic SLAM based on Neural Radiance Fields, achieving higher accuracy and real-time semantic mapping. The approach involves feature collaboration between appearance, geometry, and semantics for enhanced representation capabilities.


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Semantic Neural Implicit SLAM: Enhancing Semantic Mapping with Neural Radiance Fields


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Neural implicit representation enhances semantic mapping accuracy and real-time tracking in SNI-SLAM.


sni-slam-semantic-neural-implicit-slam-system-for-accurate-semantic-mapping-and-real-time-tracking


SNI-SLAM: Semantic Neural Implicit SLAM System for Accurate Semantic Mapping and Real-time Tracking



提案されたSemGauss-SLAMは、3Dガウス表現を活用した最初のセマンティックSLAMシステムであり、正確なセマンティックマッピングと写実的な再構築を実現します。


semgauss-slam-dense-semantic-gaussian-splatting-system-for-real-time-3d-mapping-and-tracking


SemGauss-SLAM: Dense Semantic Gaussian Splatting System for Real-Time 3D Mapping and Tracking
