No more random parking: Tesla FSD is about to learn your habits
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Tesla is preparing a major update for its Full Self-Driving system. According to Teslarati, citing Elon Musk, upcoming versions of FSD will learn to remember the driver's parking preferences. Today the system tends to pick the first available space, even if the owner usually parks farther from the entrance, in a specific row, or in a particular part of the lot.
According to Musk, destination parking is currently the main reason drivers intervene in FSD's work. The new feature is expected to take past behavior into account — for example, where the car usually stopped at home, at the office, or during the school drop-off. This will let FSD not only bring the car to the address, but also finish the trip the way the owner is used to.
The benefit for the driver is obvious. Some try to park away from other cars to reduce the risk of door dings. Others prefer to back in, pick a specific row, or park closer to the right exit. If the system actually starts taking such scenarios into account, manual interventions in the final part of the trip should become rarer.
That said, this is not yet about fully autonomous parking. Tesla itself notes that Full Self-Driving Supervised requires the driver to remain actively in control and does not make the car autonomous. Musk did not name a precise launch window for the feature, nor did he specify which hardware versions it will appear on.
This English edition was prepared using AI translation under editorial oversight by SpeedMe. The original reporting is by Polina Kotikova