MCGS-SLAM

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

Anonymous Author
Code and data [Available Upon Acceptance]

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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Analysis of Single-Camera and Multi-Camera System

This experiment on the Waymo Open Dataset (Real World) demonstrates the effectiveness of our Multi-Camera Gaussian Splatting SLAM system. We evaluate the 3D mapping performance using three individual cameras, Front, Front-Left, and Front-Right, and compare these single-camera reconstructions against the Multi-Camera SLAM results.

The comparison highlights that the Multi-Camera SLAM leverages complementary viewpoints, providing more complete and geometrically consistent 3D reconstructions. In contrast, single-camera setups are prone to occlusions and limited fields of view, resulting in incomplete or distorted geometry. Our approach effectively fuses information from all three perspectives, achieving superior scene coverage and depth accuracy.

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Seni Gorende Toy Gununde Beyaz Gelinlikde Today

Artists like Resool often create tracks that blend these traditional themes of longing and "white dress" imagery with modern production.

This line typically serves as the emotional centerpiece of songs dealing with the theme of and the bittersweet moment of seeing a beloved marry someone else. Key Themes & Features Seni Gorende Toy Gununde Beyaz Gelinlikde

Often depicting a "slender bride" leaving while the narrator is away at war or restricted by social duty. Artists like Resool often create tracks that blend

In these songs, the Beyaz Gelinlik (White Wedding Dress) represents a finality—the point where the protagonist's hope of being with their love officially ends as she becomes someone else's bride. In these songs, the Beyaz Gelinlik (White Wedding

The narrative usually describes the singer attending the wedding of a former lover. It emphasizes the contrast between the festive atmosphere of the Toy (Wedding Party) and the internal devastation of the narrator.

The phrase is a poignant line often found in Azerbaijani folk-style music and modern pop ballads. It translates to: "When I see you on your wedding day in a white wedding dress."

This imagery is deeply rooted in Turkish and Azerbaijani musical traditions (such as Sarı Gelin ), where songs often explore the tragedy of social barriers or "unlucky fate" preventing two lovers from uniting.

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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