Tesla FSD Update to Add Pothole Avoidance and Adaptive Route Navigation
Tesla AI lead software engineer Phil Duan confirmed that upcoming FSD (Supervised) updates will introduce long-awaited automatic pothole avoidance and personalized route learning. The system will adjust navigation based on driver intervention history during daily commutes and parking, while also integrating Grok for natural language voice commands. Damaged wheels from potholes and frustrating navigation choices are among the biggest user complaints about Tesla's FSD system. Resolving these issues enhances passenger comfort, prevents costly vehicle damage, and reduces driver interventions needed to override sub-optimal route guidance. The adaptive route feature builds on Tesla's existing "Preferred Routes" capability by treating manual steering inputs as training feedback for the neural network. While pothole detection has been listed in earlier release notes, it remains unconfirmed whether the full rollout will arrive in a minor patch or alongside FSD v15, which is anticipated to feature a 10-billion-parameter model.
## BACKGROUND
Tesla's Full Self-Driving (Supervised) is an advanced driver-assistance system that requires active monitoring and immediate driver intervention when necessary. The system relies primarily on computer vision neural networks to perceive road features, navigate intersections, and execute driving maneuvers.