NVSim: Novel View Synthesis Simulator for Large Scale Indoor Navigation

Jeong, Mingyu, Kim, Eunsung, Park, Sehun, Choi, Andrew Jaeyong

arXiv.org Artificial Intelligence 

Our approach adapts 3D Gaussian Splatting to address visual artifacts on sparsely-observed floors--a common issue in robotic traversal data. We introduce Floor-A ware Gaussian Splatting to ensure a clean, navigable ground plane, and a novel mesh-free traversability checking algorithm that constructs a topological graph by directly analyzing rendered views. We demonstrate our system's ability to generate valid, large-scale navigation graphs from real-world data. A video demonstration is avilable at https: //youtu.be/tTiIQt6nXC8.

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