NTNU researchers say their SmartNav method fuses satellite corrections, signal‑wave analysis, and Google’s 3D building data to deliver ~10 cm positioning in dense downtowns with commodity receivers. In tests, it hit that precision about 90% of the time, targeting the well‑known 'urban canyon' problem that confuses standard GPS. If commercialized, this could bring survey‑grade accuracy to phones, scooters, drones, and cars without costly correction services.
— Democratized, ultra‑precise urban location would accelerate autonomy and logistics while intensifying debates over surveillance, geofencing, and evidentiary location data in policing and courts.
EditorDavid
2025.10.13
100% relevant
The article cites SmartNav’s 10 cm accuracy claim and its reliance on public 3D building models to correct multipath in 'urban canyons.'
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