Rascene reconstructs high-precision 3D scenes from standard mmWave OFDM communication signals via multi-frame spatially adaptive fusion.
arXiv preprint arXiv:2105.11344 , year=
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UbiSLAM uses fixed RGB-D camera networks to create continuously updated centralized maps that improve robot localization accuracy and reduce onboard computational load in dynamic indoor environments.
VGGT-SLAM++ improves on prior transformer SLAM by adding dense DEM submap graphs and high-cadence local optimization, achieving SOTA accuracy with reduced drift and bounded memory on benchmarks.
citing papers explorer
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Rascene: High-Fidelity 3D Scene Imaging with mmWave Communication Signals
Rascene reconstructs high-precision 3D scenes from standard mmWave OFDM communication signals via multi-frame spatially adaptive fusion.
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Towards Ubiquitous Mapping and Localization for Dynamic Indoor Environments
UbiSLAM uses fixed RGB-D camera networks to create continuously updated centralized maps that improve robot localization accuracy and reduce onboard computational load in dynamic indoor environments.
-
VGGT-SLAM++
VGGT-SLAM++ improves on prior transformer SLAM by adding dense DEM submap graphs and high-cadence local optimization, achieving SOTA accuracy with reduced drift and bounded memory on benchmarks.