SGS-SLAM is a novel semantic visual SLAM system based on Gaussian splatting, offering state-of-the-art performance in camera pose estimation, map reconstruction, precise semantic segmentation, and object-level geometric accuracy.
SGS-SLAM introduces a novel approach to dense SLAM using Gaussian splatting, achieving state-of-the-art performance in camera pose estimation, map reconstruction, and semantic segmentation.