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KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling
US & West ·
The KODAMA automated pipeline is presented for reconstructing ray tracing-ready RF digital twins at city scale from off-the-shelf geospatial data. Aerial imagery, LiDAR, and photogrammetry yield terrain and building meshes, while exposure-weighted multi-view fusion of street-level imagery recovers facade relief, EM materials, and clutter, without site visits or calibration.
Why it matters
It demonstrates a scalable way to create digital twins for wireless communications, critical for 5G/6G network planning in cities.
Growing interest in in-space servicing, manufacturing, and assembly has renewed attention on reliable metal joining for modular construction and on-orbit repair. Robotic welding is promising, but reduced-gravity and low-pressure operation remains poorly characterised and flight-like tests are…
arXiv:2610.18400v1 Announce Type: new Abstract: Data trading markets that span industries and regions are expanding, but the implicit trust that supports data use within an organization does not carry over to cross-domain exchange.
Digital twins (DTs) can generate dense synthetic fingerprints for localization via ray tracing, yet the sim-to-real domain gap limits their direct use, particularly in cell-free millimeter-wave (mmWave) deployments where distributed geometries and blockage-induced sparsity widen the mismatch.
