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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Corporate Slave Succubus Survival Of: Newcomer

Eclipse Inc. operated under a strict hierarchical system, with succubi at the top. These were not your typical succubi; they were sophisticated, well-versed in the art of manipulation, and had transcended their basic instincts. They wore elegant suits and worked in high-rise offices, a far cry from the dark, mystical clubs one might associate with their kind. Aria soon discovered that to survive, she needed to climb this corporate ladder, navigating through a web of alliances, rivalries, and hidden agendas.

Aria's journey was unexpectedly aided by a high-ranking succubus, Lilith. With her striking appearance and cold demeanor, Lilith embodied the essence of a corporate executive. Despite her initial coldness towards Aria, Lilith saw potential in the young succubus. She took Aria under her wing, teaching her the ropes of corporate politics, how to control her nature, and most importantly, how to feed without appearing predatory. Lilith's guidance was invaluable, but Aria soon realized that her mentor had her own motivations and demons. corporate slave succubus survival of newcomer

The climax of Aria's journey came during a corporate event that doubled as a masquerade ball. The masks served not just as a disguise but as a metaphor for the true selves that the employees dared not show. Tensions between Aria and her adversaries reached a boiling point. In a display of wit, strategy, and controlled power, Aria managed to outmaneuver her foes. This victory wasn't just a personal triumph but a statement about her acceptance within the company. Eclipse Inc

Aria faced numerous challenges as she navigated her new life. There were the psychological games with her coworkers, the struggle to suppress her natural instincts in a business setting, and the ethical dilemmas presented by the company's morally ambiguous objectives. A critical trial came in the form of a competitive presentation, where Aria's team was pitted against a rival group led by a cunning incubus, known for his ruthless tactics. This challenge forced Aria to confront her strengths, her weaknesses, and the true nature of her desires. They wore elegant suits and worked in high-rise

Aria, with her radiant skin and jet-black hair, stood out among her peers. Her eyes gleamed with an untamed hunger, a sign of her recent awakening to her true nature. She had stumbled upon Eclipse Inc. in her search for a place to belong, a place where she could control her insatiable desires. However, her entrance into the corporate world was met with skepticism and outright hostility. The existing employees, a mix of seasoned succubi and other supernatural beings, questioned her ability to adapt to the rigorous demands of corporate life.


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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