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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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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Life After Death The Notorious Big -

The album’s title, “Life After Death,” was a nod to Biggie’s own mortality, as well as the harsh realities of life in the streets of Brooklyn. Despite his young age – just 24 at the time of the album’s release – Biggie had already experienced more than his fair share of hardship, including poverty, violence, and the loss of loved ones.

As a cultural artifact, “Life After Death” continues to inspire new generations of artists, producers, and fans, its influence evident in the many artists who have followed in Biggie’s footsteps. As a work of art, it remains a masterpiece, a powerful exploration of the human condition that continues to resonate with listeners around the world. life after death the notorious big

The album’s influence can also be seen in the many artists who cite Biggie as an inspiration, including Jay-Z, Kanye West, and Drake, who have all credited Biggie with helping to shape their own musical styles and artistic visions. As a work of art, it remains a

The impact of “Life After Death” on hip-hop cannot be overstated. The album’s success helped to establish the East Coast as a major force in hip-hop, paving the way for other notable artists like Jay-Z and Nas. The album’s influence can also be seen in the many artists who have followed in Biggie’s footsteps, exploring themes of mortality, poverty, and perseverance in their own music. The album’s success helped to establish the East

In the years since its release, “Life After Death” has continued to be celebrated as a hip-hop classic, with many regarding it as one of the greatest albums of all time. The album’s influence can be heard in the work of contemporary artists, and its themes of mortality, perseverance, and the human condition continue to resonate with listeners around the world.

On March 25, 1997, the music world was forever changed with the release of The Notorious B.I.G.’s sophomore album, “Life After Death.” This double-disc masterpiece not only solidified Biggie Smalls’ position as one of the most promising young rappers in the game but also left an indelible mark on the hip-hop landscape.


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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