AI RESEARCH
FeatureSLAM: Feature-enriched 3D gaussian splatting SLAM in real time
arXiv CS.CV
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ArXi:2601.05738v2 Announce Type: replace We present a real-time tracking SLAM system that unifies efficient camera tracking with photorealistic feature-enriched mapping using 3D Gaussian Splatting (3DGS). Our main contribution is integrating dense feature rasterization into the novel-view synthesis, aligned with a visual foundation model. This yields strong semantics, going beyond basic RGB-D input, aiding both tracking and mapping accuracy.