RF Perception
As Infrastructure.
An AI-generated, real-time world perception model that gives machines and software a shared understanding of physical space.
Discover the thinkingA wider view
starts here.
A moving vehicle is one way to understand the idea. Its surroundings extend beyond what any single viewpoint can observe.
Every viewpoint
has a boundary.
A corner, a structure, another vehicle. Physical geometry limits the evidence available from one position.
Let the environment
contribute.
Spatially distributed RF nodes observe from different locations. Their observations can add context that a moving machine cannot gather alone.
From observations
to understanding.
This conceptual display brings estimated surroundings into a common spatial frame. A vehicle can use that context alongside its own observations.
Context includes
what is uncertain.
The model is designed to retain confidence and the evidence behind its estimates. Where an interpretation is uncertain, further observations can help refine it.
Built around places.
Useful across systems.
Mobility is one application. The wider idea is a physical-world perception layer that robotics, industrial operations, digital twins and AI can share.