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Tesla slowly rolls out FSD Beta v11 for wide release

Credit: Whole Mars Blog | Twitter

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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.

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.

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.

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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

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Tesla Insurance officially expands to new U.S. state

Tesla’s in-house Insurance program first launched back in late 2019, offering a new way to insure the vehicles that was potentially less expensive and could alleviate a lot of the issues people had with claims, as the company could assess and repair the damage itself.

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Credit: Tesla Insurance

Tesla Insurance has officially expanded to a new U.S. state, its thirteenth since its launch in 2019.

Tesla has confirmed that its in-house Insurance program has officially made its way to Florida, just two months after the company filed to update its Private Passenger Auto program in the state. It had tried to offer its insurance program to drivers in the state back in 2022, but its launch did not happen.

Instead, Tesla refiled the paperwork back in mid-October, which essentially was the move toward initiating the offering this month.

Tesla’s in-house Insurance program first launched back in late 2019, offering a new way to insure the vehicles that was potentially less expensive and could alleviate a lot of the issues people had with claims, as the company could assess and repair the damage itself.

It has expanded to new states since 2019, but Florida presents a particularly interesting challenge for Tesla, as the company’s entry into the state is particularly noteworthy given its unique insurance landscape, characterized by high premiums due to frequent natural disasters, dense traffic, and a no-fault system.

Tesla partners with Lemonade for new insurance program

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Annual average premiums for Florida drivers hover around $4,000 per year, well above the national average. Tesla’s insurance program could disrupt this, especially for EV enthusiasts. The state’s growing EV adoption, fueled by incentives and infrastructure development, aligns perfectly with Tesla’s ecosystem.

Moreover, there are more ways to have cars repaired, and features like comprehensive coverage for battery damage and roadside assistance tailored to EVs address those common painpoints that owners have.

However, there are some challenges that still remain. Florida’s susceptibility to hurricanes raises questions about how Tesla will handle claims during disasters.

Looking ahead, Tesla’s expansion of its insurance program signals the company’s ambition to continue vertically integrating its services, including coverage of its vehicles. Reducing dependency on third-party insurers only makes things simpler for the company’s automotive division, as well as for its customers.

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Tesla Full Self-Driving gets sparkling review from South Korean politician

“Having already ridden in an unmanned robotaxi, the novelty wasn’t as strong for me, but it drives just as well as most people do. It already feels like a completed technology, which gives me a lot to think about.”

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Credit: Soyoung Lee | X

Tesla Full Self-Driving got its first sparkling review from South Korean politician Lee So-young, a member of the country’s National Assembly, earlier this week.

Lee is a member of the Strategy and Finance Committee in South Korea and is a proponent of sustainable technologies and their applications in both residential and commercial settings. For the first time, Lee was able to utilize Tesla’s Full Self-Driving technology as it launched in the country in late November.

Her thoughts on the suite were complimentary to the suite, stating that “it drives just as well as most people do,” and that “it already feels like a completed technology.”

Her translated post says:

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“Finally, today I got to experience Tesla FSD in Seoul. Thanks to the Model S sponsored by JiDal Papa^^, I’m truly grateful to Papa. The route was from the National Assembly -> Mangwon Market -> Hongik University -> back to the National Assembly. Having already ridden in an unmanned robotaxi, the novelty wasn’t as strong for me, but it drives just as well as most people do. It already feels like a completed technology, which gives me a lot to think about. Once it actually spreads into widespread use, I feel like our daily lives are going to change a lot. Even I, with my license gathering dust in a drawer, don’t see much reason to learn to drive a manual anymore.”

Tesla Full Self-Driving officially landed in South Korea in late November, with the initial launch being one of Tesla’s most recent, v14.1.4.

It marked the seventh country in which Tesla was able to enable the driver assistance suite, following the United States, Puerto Rico, Canada, China, Mexico, Australia, and New Zealand.

It is important to see politicians and figures in power try new technologies, especially ones that are widely popular in other regions of the world and could potentially revolutionize how people travel globally.

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Tesla dispels reports of ‘sales suspension’ in California

“This was a “consumer protection” order about the use of the term “Autopilot” in a case where not one single customer came forward to say there’s a problem.

Sales in California will continue uninterrupted.”

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Credit: Tesla

Tesla has dispelled reports that it is facing a thirty-day sales suspension in California after the state’s Department of Motor Vehicles (DMV) issued a penalty to the company after a judge ruled it “misled consumers about its driver-assistance technology.”

On Tuesday, Bloomberg reported that the California DMV was planning to adopt the penalty but decided to put it on ice for ninety days, giving Tesla an opportunity to “come into compliance.”

Tesla enters interesting situation with Full Self-Driving in California

Tesla responded to the report on Tuesday evening, after it came out, stating that this was a “consumer protection” order that was brought up over its use of the term “Autopilot.”

The company said “not one single customer came forward to say there’s a problem,” yet a judge and the DMV determined it was, so they want to apply the penalty if Tesla doesn’t oblige.

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However, Tesla said that its sales operations in California “will continue uninterrupted.”

It confirmed this in an X post on Tuesday night:

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The report and the decision by the DMV and Judge involved sparked outrage from the Tesla community, who stated that it should do its best to get out of California.

One X post said California “didn’t deserve” what Tesla had done for it in terms of employment, engineering, and innovation.

Tesla has used Autopilot and Full Self-Driving for years, but it did add the term “(Supervised)” to the end of the FSD suite earlier this year, potentially aiming to protect itself from instances like this one.

This is the first primary dispute over the terminology of Full Self-Driving, but it has undergone some scrutiny at the federal level, as some government officials have claimed the suite has “deceptive” naming. Previous Transportation Secretary Pete Buttigieg was vocally critical of the use of the name “Full Self-Driving,” as well as “Autopilot.”

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