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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Missile.command.recharged.rar -

: Players control three missile batteries to intercept incoming threats. A notable feature is the ability to command each battery individually using different face buttons for added strategy.

Missile Command: Recharged (2020 version) - The new Atari VCS

: Points earned during play can be spent on enhancements for missile power, reload speed, and blast radius, creating a "just one more try" gameplay loop.


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

: Players control three missile batteries to intercept incoming threats. A notable feature is the ability to command each battery individually using different face buttons for added strategy.

Missile Command: Recharged (2020 version) - The new Atari VCS

: Points earned during play can be spent on enhancements for missile power, reload speed, and blast radius, creating a "just one more try" gameplay loop.


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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