Thursday, June 4

Tesla has begun deploying Full Self-Driving (Supervised) Version 14.1, marking one of the most significant updates to its advanced driver-assist system in nearly a year. The latest release introduces vision-based navigation capable of handling real-time detours and adds an “Arrival Options” feature designed to simulate Robotaxi-style drop-offs.

With Version 14.1, Tesla has integrated navigation and routing into its vision-based neural network, enabling vehicles to dynamically adjust to road closures, obstacles, and other changing conditions.

See also: Tesla Launches New Model Y and Model 3 Standard Variants Starting at $36,990 in U.S.

The system’s detection of emergency vehicles has also been enhanced, allowing cars to yield or pull over when police, fire, or ambulances are nearby. Other improvements include refined behavior around debris, school buses, lane cut-ins, and smoother handling of unprotected turns and gated entries.

See also: Tesla Q3 Deliveries Hit Record 497,099 Units, Driven by U.S. Demand Ahead of Tax Credit Expiration

The update also adds new personalization tools, allowing drivers to fine-tune driving styles through Speed Profiles. A new “Sloth” mode offers more cautious lane and speed selections compared to previous options. Version 14.1 saves parking and arrival preferences by destination and enables one-tap activation of the system.

Additional refinements include an automatic camera-cleaning feature and improved system recovery under degraded conditions. Although Full Self-Driving (Supervised) remains a driver-monitored system, Version 14.1 represents a major milestone in Tesla’s continuing development of its autonomous driving technology.

FSD (Supervised) V14.1 release notes

Following are the release notes for FSD (Supervised) V14.1:

FSD(Supervised) v14.1 includes:

  • • Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
  • Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
  • Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
  • Added additional Speed Profile to further customize driving style preference.
  • Improved handling for static and dynamic gates.
  • Improved offsetting for road debris (e.g. tires, tree branches, boxes).
  • Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school buses.
  • Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
  • Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
  • Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!

Upcoming Improvements:

  • Overall smoothness and sentience
  • Parking spot selection and parking quality
  • You can now select an arrival option such as Parking Lot, Street, Driveway, Parking Garage and Curbside for Robotaxi-style drop offs.
  • Your preferences for arrival options and preferred parking positions are persisted for each destination.
  • Our reasoning model will assess the suitable options for your destination and pick an intuitive default.

Speed Profiles:

  • FSD (Supervised) will now determine the appropriate speed based on a mix of driver profile, speed limit, and surrounding traffic:
  • Introduced new Speed Profile SLOTH, which comes with lower speeds & more conservative lane selection than CHILL.
  • Driver profile now has a stronger impact on behavior. The more assertive the profile, the higher the max speed.
  • Right scroll-wheel up/down now adjusts Speed Profile setting rather than your precise max speed offset selection in mph/kph.

UI Improvements:

  • Start Self-Driving with a tap of the touchscreen from Park, or any time during your drive.
  • Adjust settings like the Speed Profile and Arrival Options directly from the Autopilot visualization on the center display.
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Joshua Morris is an EV journalist at EVMagz.com, covering global developments in electric vehicle technology, battery innovation, charging infrastructure, and clean mobility policy across major markets. He holds a degree in Environmental Science and, outside of reporting, enjoys weekend open-water swimming, drone landscape mapping, and exploring off-grid energy systems.

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