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洞見 - Semantic SLAM System
Semantic Neural Implicit SLAM: Enhancing Semantic Mapping with Neural Radiance Fields
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.
SNI-SLAM: Semantic Neural Implicit SLAM System for Accurate Semantic Mapping and Real-time Tracking
Neural implicit representation enhances semantic mapping accuracy and real-time tracking in SNI-SLAM.
SemGauss-SLAM: Dense Semantic Gaussian Splatting System for Real-Time 3D Mapping and 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。
