So, what's the problem?

Every autonomous vehicle accumulates timing and positioning errors. This is not a software flaw — it is physics. Sensors and AI mask the drift well enough for small fleets on short missions with reliable GPS. But three conditions have recently converged to make this a critical yet solvable infrastructure problem.

Autonomous vehicle scale has hit a physics wall.

After a decade of development, autonomous rideshare companies operate in only a few cities. The constraint is not sensor quality — it is the cost of city-by-city HD mapping and terrain modeling. The autonomy market is stalled not on perception, but on reference infrastructure that does not yet exist. Perception tells you what you see. Timing tells you where you are relative to everyone else. Every OEM is building perception-first, vehicle-centric architectures with no investment in the distributed timing layer that would let fleets coordinate without continuous modeling and mapping overhead.

GPS vulnerability is documented.

GPS is vulnerable and susceptible to tampering.  Yet, autonomous vehicles can't operate without it.  Presently, jamming and spoofing are active failure modes in warfighting. The Pentagon has responded with resilient positioning, navigation, and timing requirements and active evaluation programs. Civilian infrastructure dependent upon GPS's timing backbone — transportation, banking, electric grids, telecommunications, et al — is equally exposed. The U.S. has no GPS backup. Russia and China do.

The economic cost of a sustained GPS outage is estimated at $1–1.6 billion per day. A 30-day outage: $58 billion. Fourteen of the sixteen sectors DHS designates as critical infrastructure depend on GPS. None of them have an adequate fallback. GPS is a timing system. When it fails, time fails with it. 

The signal environment just arrived.

The depth and breadth of RF telecommunications signals from space, terrestrial (5G), and military networks has expanded dramatically in the past two years. No one has built the infrastructure to exploit it for fleet-level timing and ranging. Navigtr is doing that and will solve the scaling and GPS issues above.