All news
Digital Twin

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.

Relevant to DT products

Original headline
KODAMA: Multimodal Digital Twin Reconstruction for Urban RF Propagation Modelling
Read the original: arXiv API — полнотекстовый поиск "digital twin"

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

Related

Digital twinUS & West

Earth System World Model for What-If Simulations: A Case Study for Terrestrial Ecosystems

An action-conditioned world-modeling framework for Earth-system emulation is proposed, allowing users to specify interventions and explore system responses. It reformulates simulator trajectories as supervision for controllable state-transition learning, going beyond passive forecasting. This is relevant for interactive scientific workflows and Earth-system digital twins.

DTCDT.ForecastarXiv API — полнотекстовый поиск "digital twin" ↗
Digital twinUS & West

Digital Twin and Extended Reality for Robot-Assisted Finishing

A cyber-physical system is presented for programming, supervision, training, and teleoperation of robot-assisted finishing of metal additive-manufactured parts. A digital twin built in Unity is delivered as a WebGL app supporting desktop and WebXR modes, exchanging robot state and pose commands with a collaborative robot via MQTT. The twin enforces kinematic and collision constraints before releasing poses and augments the virtual component with a color map of surface topography to support operator decisions.

DTEarXiv API — полнотекстовый поиск "digital twin" ↗
Digital twinUS & West

When Can LLM Digital Twins Reduce Human Measurement? From Behavioral Fidelity to Statistical Substitutability

The concept of statistical substitutability is introduced to assess whether LLM-based digital twins can replace repeated human data collection while preserving valid inference. A framework grounded in mixed-subject and prediction-powered inference evaluates four dimensions: aggregate fidelity, paired respondent-level signal, finite-sample label recovery, and stability across populations. This helps determine when twins can reduce measurement burden.

DTCDTEarXiv API — полнотекстовый поиск "digital twin" ↗