Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to 'drive into standing water'

· ai-agents · Source ↗

TLDR

  • Waymo issued a voluntary NHTSA software recall for ~3,800 robotaxis using 5th/6th gen ADS after vehicles drove onto flooded roads and stalled.

Key Takeaways

  • Trigger incident: April 20, a Waymo AV in San Antonio entered a flooded road and was swept into a creek; no passengers aboard, but it opened an NHTSA probe.
  • Recall covers all U.S. Waymo vehicles on 5th and 6th generation automated driving systems; fix is an OTA software update, not a physical service action.
  • Waymo has applied interim mitigations: operational geofencing during extreme weather to avoid flash-flood-prone areas.
  • San Antonio service remains suspended; Waymo says it is readying to resume public rides.
  • Pattern of edge-case failures: prior incidents include failure to yield to school buses in Austin and gridlock during SF power outages in December.

Hacker News Comment Review

  • Commenters flagged that distinguishing reflective wet pavement from traversable standing water is genuinely hard for both humans and AV sensor stacks; a dedicated water-depth sensor was suggested as a direct fix, with the tradeoff of over-caution at shallow puddles.
  • The Texas geography context matters: flat terrain, limestone substrate, and dry creek “low water crossings” make flash flooding unpredictable and common, raising the difficulty bar beyond typical AV test environments.
  • Several commenters pushed back on the word “recall,” noting it is a regulatory term that here means an OTA patch while vehicles are pulled from service, not a physical return; some argued NHTSA should modernize the terminology for software-updatable vehicles.

Notable Comments

  • @Animats: Notes DARPA Grand Challenge teams solved this in 2005 with onboard water sensors; proposes cautious entry to probe depth before committing.
  • @Zigurd: Suggests Google’s map scale enables inference-based flood detection combining vehicle deceleration, steering correction, and computer vision without dedicated hardware.

Original | Discuss on HN