Tesla FSD Will Soon Be Able to Copy Your Parking Habits

Tesla’s Full Self-Driving (Supervised) continues to improve on city streets and highways, but parking at the destination remains a common pain point where many drivers still intervene.

Learning From Your Habits

The topic resurfaced on X when Tom Blomfield, a partner at Y Combinator, praised the system while noting a recurring issue. He wrote, “I no longer need to drive my car. The only time I take control is to back into my garage because it’s down an awkward ramp.”

Elon Musk replied with a proposed solution here, stating: “Upcoming releases of FSD will remember your parking preferences, so that the car goes to the right location at your home, office, school drop off, etc. Destination parking is by far the biggest reason people now intervene with FSD. Critical safety interventions are extremely rare.”

Recent builds have improved FSD’s parking logic, but enabling the system to remember driver-specific preferences would address a major gap. Early steps appeared with FSD v14.1, which added Park at Destination options, though these remain fairly limited. In practice, the car can still choose a stall far from a store’s entrance or the wrong spot in a driveway.

Tracking Disengagement Data

Musk’s view of why drivers take over comes from the vehicle data pipeline. In v14.3.2 earlier this spring, Tesla introduced a new FSD disengagement menu that requires selecting a reason—Navigation, Parking, Critical, or Other—whenever the driver assumes control.

Because the prompt can’t be dismissed without a selection, some owners tap a category at random to clear the screen. Even with possible false positives, these remarks represent the first time Tesla has shared results from this feedback loop. According to Musk, parking is the leading cause of interventions, while navigation-related and other takeovers are in the middle, and critical safety events are extremely rare.

Learning parking preferences should help satisfy requests for more detailed parking controls. Added granularity—such as picking a specific space in a lot or prioritizing spots near an entrance when routing to a store—would further improve the arrival experience.

Musk did not provide a firm release date for parking-preference learning. Later this fall, users will also gain the ability to use Grok voice controls with FSD, which could eventually let drivers specify exactly where and how to park using simple voice commands.