Tesla FSD V14.1.2 Navigates Complex Parking Garage, Demonstrating Advanced Autonomy

Tesla's Full Self-Driving (FSD) system, in its latest V14.1.2 iteration, is showcasing enhanced navigation capabilities, particularly within challenging environments like multi-level parking garages. Early access tester Sawyer Merritt recently highlighted the system's proficiency, noting its successful navigation and optimal level selection within a parking structure, even while operating in the more assertive "Mad Max" driving profile. This development underscores Tesla's continuous efforts to refine its autonomous driving technology.

"Trying FSD V14.1.2 in a parking garage for the first time (Mad Max mode on). I initially wondered why it drove all the way to the top level, but there was an access point into the main building from there, so it actually successfully navigated and chose the best level to be on," Sawyer Merritt stated on social media.

The V14.1.2 update, rolled out to a select group of early access testers, reintroduces the "Mad Max" driving profile, known for its aggressive lane changes and higher speeds, alongside a new five-level system that includes "Sloth," "Chill," "Standard," and "Hurry" modes. This update follows FSD V14, which initially brought significant improvements, including the ability to navigate from parking spot to parking spot and enhanced parking options upon arrival at a destination. These advancements aim to make the system more intuitive and capable of handling complex real-world scenarios.

Tesla's FSD V14.1.2 has also demonstrated notable improvements in smoothness, decision-making, and the reduction of "brake-stabbing" incidents, according to early testers. The system's ability to handle unprotected left turns and react to emergency vehicles has also seen significant progress. This continuous refinement is crucial as Tesla pushes towards a wider public release of its FSD software, with some testers suggesting V14 is nearly ready for broader deployment.

The company's approach involves collecting vast amounts of data from its fleet, using it to train its AI models, and then testing these models in real-world scenarios. This iterative process allows for rapid improvements in FSD's capabilities, addressing edge cases and complex driving situations. While FSD remains a Level 2 driver assistance system requiring constant driver attention, the latest updates indicate a substantial leap towards more generalized and unsupervised autonomous driving.