MCGS-SLAM

A Multi-Camera SLAM Framework Using Gaussian Splatting for High-Fidelity Mapping

Anonymous Author

SLAM System Pipeline

Our method performs real-time SLAM by fusing synchronized inputs from a multi-camera rig into a unified 3D Gaussian map. It first selects keyframes and estimates depth and normal maps for each camera, then jointly optimizes poses and depths via multi-camera bundle adjustment and scale-consistent depth alignment. Refined keyframes are fused into a dense Gaussian map using differentiable rasterization, interleaved with densification and pruning. An optional offline stage further refines camera trajectories and map quality. The system supports RGB inputs, enabling accurate tracking and photorealistic reconstruction.

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Fabrication Engineering At The Micro- And Nanoscale 4th Pdf

"Fabrication Engineering at the Micro- and Nanoscale, 4th Edition" is a comprehensive technical textbook that covers the principles, processes, equipment, and applications of micro- and nanoscale fabrication used in MEMS, microelectronics, photonics, and nanotechnology. A purposeful composition describing this title should highlight its scope, structure, target audience, key topics, and practical value.


Analysis of Single-Camera and Multi-Camera SLAM (Mapping)

"Fabrication Engineering at the Micro- and Nanoscale, 4th Edition" is a comprehensive technical textbook that covers the principles, processes, equipment, and applications of micro- and nanoscale fabrication used in MEMS, microelectronics, photonics, and nanotechnology. A purposeful composition describing this title should highlight its scope, structure, target audience, key topics, and practical value.


Analysis of Single-Camera and Multi-Camera SLAM (Tracking)

In this section, we benchmark tracking accuracy across eight driving sequences from the Waymo dataset (Real World). MCGS-SLAM achieves the lowest average ATE, significantly outperforming single-camera methods.
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We further evaluate tracking on four sequences from the Oxford Spires dataset (Real World). MCGS-SLAM consistently yields the best performance, demonstrating robust trajectory estimation in large-scale outdoor environments.
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