Connect with us
tesla v11 tesla v11

News

Tesla slowly rolls out FSD Beta v11 for wide release

Credit: Whole Mars Blog | Twitter

Published

on

Tesla appears to have started slowly rolling out v11 of the Full Self-Driving Beta program this morning, just a few days after CEO Elon Musk stated the company would begin releasing it to more vehicles.

Tesla’s FSD Beta v11.3.1 started to roll out to employees late last year and a select few of the automaker’s long-standing testers a few weeks ago.

The controlled rollout allows Tesla to monitor its behaviors and tendencies in a highly safe way, as it can determine issues or bugs in a small sample size and fix them before a wider release begins.

On March 14, Musk stated that “ V11 starts going wide this weekend,” and we’ve heard it before. However, it appears the automaker is happy with the early reviews and is starting to release it to more vehicles.

Advertisement

v11.3.2 is the newest version of the Beta and is being rolled out with Tesla Software Update 2022.45.11. According to statistics from TeslaScope, more vehicles are being updated with the new FSD Beta v11, and more drivers on the r/TeslaMotors subreddit are beginning to report that they have received the update.

Drivers who have experienced the early editions of this rollout have reported that there have been several improvements to highway driving, and inner-city street navigation has also been refined and feels more accurate than ever before, which is undoubtedly a step in the right direction.

Advertisement

The full release notes for the FSD Beta are available below via TeslaScope:

  • Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
  • Improved recall for close-by cut-in cases by 15%, particularly for large trucks and high-yaw rate scenarios, through an additional 30k auto-labeled clips mined from the fleet. Additionally, expanded and tuned dedicated speed control for cut-in objects.
  • Improved the position of ego in wide lanes, by biasing in the direction of the upcoming turn to allow other cars to maneuver around ego.
  • Improved handling during scenarios with high curvature or large trucks by offsetting in lane to maintain safe distances to other vehicles on the road and increase comfort.
  • Improved behavior for path blockage lane changes in dense traffic. Ego will now maintain more headway in blocked lanes to hedge for possible gaps in dense traffic.
  • Improved lane changes in dense traffic scenarios by allowing higher acceleration during the alignment phase. This results in more natural gap selection to overtake adjacent lane vehicles very close to ego.
  • Made turns smoother by improving the detection consistency between lanes, lines and road edge predictions. This was accomplished by integrating the latest version of the lane-guidance module into the road edge and lines network.
  • Improved accuracy for detecting other vehicles’ moving semantics. Improved precision by 23% for cases where other vehicles transition to driving and reduced error by 12% for cases where Autopilot incorrectly detects its lead vehicle as parked. These were achieved by increasing video context in the network, adding more data of these scenarios, and increasing the loss penalty for control- relevant vehicles.
  • Extended maximum trajectory optimization horizon, resulting in smoother control for high curvature roads and far away vehicles when driving at highway speeds.
  • Improved driving behavior next to row of parked cars in narrow lanes, preferring to offset and staying within lane instead of unnecessarily lane changing away or slowing down.
  • Improved back-to-back lane change maneuvers through better fusion between vision-based localization and coarse map lane counts.
  • Added text blurbs in the user interface to communicate upcoming maneuvers that FSD Beta plans to make. Also improved the visualization of upcoming slowdowns along the vehicle’s path. Chevrons render at varying opacity and speed to indicate the slowdown intensity, and a solid line appears at locations where the car will come to a stop.
  • Improved the recall and precision of object detection, notably reducing the position error of semi-trucks by 10%, increasing the recall and precision of crossing vehicles over 100m away by 3% and 7%, respectively, and increasing the recall of motorbikes by 5%. This was accomplished by implementing additional quality checks in our two million video clip autolabeled dataset.
  • Reduced false offsetting around objects in wide lanes and near intersections by improving object kinematics modeling in low speed scenarios.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

Advertisement
Comments

Elon Musk

Elon Musk reiterates rapid Starship V3 timeline with next launch in sight

Musk shared the update in a brief post on X, writing, “Starship flies again next month.”

Published

on

Credit: SpaceX/X

Elon Musk has confirmed that Starship will fly again next month, reiterating SpaceX’s aggressive timeline for the first launch of its Starship V3 rocket.

Musk shared the update in a brief post on X, writing, “Starship flies again next month.” The CEO’s post was accompanied by a video of Starship’s Super Heavy booster being successfully caught by a launch tower in Starbase, Texas. 

The timeline is notable. In late January, Musk stated that Starship’s next flight, Flight 12, was expected in about six weeks. This placed the expected mission date sometime in March. That estimate aligned with SpaceX’s earlier statement that Starship’s 12th flight test “remains targeted for the first quarter of 2026.”

If the vehicle does indeed fly next month, it would mark the debut of Starship V3, the upgraded platform expected to feature the rocket’s new Raptor V3 engines.

Advertisement

Raptor V3 is designed to deliver significantly higher thrust than earlier versions while reducing cost and weight. Starship V3 itself is expected to be optimized for manufacturability, a critical step if SpaceX intends to scale production toward frequent launches for Starlink, lunar missions, and eventually Mars.

Starship V3 is widely viewed as the version that transitions the program from experimental testing to true operational scaling. Previous iterations have completed multiple integrated flight tests, with mixed outcomes but steady progress. Expectations are high that SpaceX is now working on Starship’s refinement.

An aggressive launch schedule supports several priorities at once. It advances Starlink’s next-generation satellite deployment, supports NASA’s lunar ambitions under Artemis, and keeps SpaceX on track for its longer-term Moon and Mars objectives.

Continue Reading

News

Tesla Model Y L six-seater approved for Australia ahead of launch

The variant was listed as YL5NDB on the Australian government’s ROVER approval website.

Published

on

Credit: Tesla Asia/X

Tesla’s six-seat, extended-wheelbase Model Y L has been approved for sale in Australia, as per newly published government documents.

The variant, listed as YL5NDB on the Australian government’s ROVER approval website, has confirmed that Tesla has received regulatory clearance to offer the extended Model Y to domestic customers.

Documents seen by Drive show that the Model Y L has been approved in Australia in a single dual-motor, all-wheel-drive configuration. While Tesla has not formally announced a launch date, vehicles are typically approved for Australian sale several months before arriving in showrooms.

The Model Y L is a longer version of the regular Model Y, designed to accommodate a six-seat layout with two seats in each row. It measures 177mm longer overall than the regular Model Y, at 4969mm, and features a 150mm longer wheelbase at 3040mm.

Advertisement

Australian approval documents list the Model Y L with the same nickel-manganese-cobalt battery pack used in the regular Model Y Long Range, which is expected to have a gross capacity of about 84kWh and a usable capacity of about 82kWh. Output is officially listed at 378kW in government filings, though real-world peak output may differ.

The Model Y L replaces the regular Model Y’s second-row bench with two captain’s chairs featuring heating, ventilation, and power adjustment. Heated third-row seats are also included.

Additional upgrades reported by Drive include an 18-speaker sound system, new front seats with single-piece backrests, and continuously variable shock absorbers. The only wheel option listed for the Australian model is 19-inch wheels.

In Europe, where the Model Y L has also received approval but has not yet launched, the variant is expected to claim up to 681km of WLTP range.

Advertisement
Continue Reading

Elon Musk

Elon Musk highlights one of Tesla FSD Supervised’s most underrated features

In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”

Published

on

Credit: Tesla

Tesla’s Full Self-Driving (Supervised) is able to recognize and respond to hand signals, as highlighted recently by CEO Elon Musk.

In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”

Musk shared the update in a quote reply to a video posted by Tesla Europe, which showed a vehicle operating with Full Self-Driving (Supervised) navigating a tight lane in the Netherlands while responding to hand gestures from a person directing traffic.

Hand signal recognition is an important capability for advanced driver-assistance and autonomous systems. In real-world driving, pedestrians, construction workers, parking attendants, and other drivers frequently use hand gestures to direct traffic, yield right of way, or indicate when it is safe to proceed. For a self-driving system operating in mixed environments, interpreting these non-verbal cues is critical.

Advertisement

Musk’s post comes as Tesla owners have surpassed 8 billion cumulative miles driven with FSD (Supervised) engaged. “Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in a post on X.

Annual FSD (Supervised) miles have increased sharply over the past five years. Roughly 6 million miles were logged in 2021, followed by 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025. 

In the first 50 days of 2026 alone, Tesla owners logged another 1 billion miles. At the current pace, the fleet is trending toward approximately 10 billion FSD (Supervised) miles this year.

Tesla’s latest North America safety data, covering all road types over a 12-month period, also indicates that vehicles operating with FSD (Supervised) were recorded one major collision every 5,300,676 miles. By comparison, the U.S. average during the same period was one major collision every 660,164 miles.

Advertisement
Continue Reading