The Waymo robotaxi turned out to be an unexpectedly convenient way to escape the scene of the incident

Brief Incident Summary

In January of this year an unknown person stole yoga clothing from a studio in San Francisco and, to evade the police, boarded a Waymo autonomous taxi. Despite these vehicles being equipped with numerous sensors and cameras, law‑enforcement agencies have still been unable to identify the perpetrator.

Why This Seems Odd

Waymo autonomous taxis are generally considered “live” surveillance systems: they record video inside and outside the cabin during every ride. Yet in this case the police encountered several issues:

1. Video Retention Period

Waymo stores recordings, but the exact retention period is not disclosed. By the time a search warrant was issued in April, the relevant videos had already been deleted from the system.

2. Blurred Exterior Cameras

For privacy reasons, images from Waymo’s exterior cameras are blurred, making it difficult to identify suspects from those frames.

3. Incomplete Information in the Account

When trip data were forwarded to law‑enforcement authorities, the service administration did not provide sufficient information to establish the identity of the thief. Camera footage showed the offender approaching the yoga studio in a service vehicle, stealing clothing, and then returning to the autonomous taxi, but details of his personal data remained unknown.

Conclusion

The incident highlights that even with an extensive surveillance system, Waymo can experience gaps: limited video retention time, blurred exterior shots, and incomplete data transmission to law‑enforcement agencies. Until the police have sufficient evidence, the perpetrator remains unidentified.