Tesla FSD Beta 10.69 release notes highlight better left turns, smoother driving

(Credit: Tesla)

Published

3 years ago

August 21, 2022

Maria Merano

Tesla released FSD Beta 10.69 to the first round of testers over the weekend. Read v.10.69’s release notes below to check out the latest improvements.

Stay in your Lanes

Added a new “deep lane guidance” module to the Vector Lanes neural network which fuses features extracted from the video streams with coarse map data, i.e. lane counts and lane connectivites. This architecture achieves a 44% lower error rate on lane topology compared to the previous model, enabling smoother control before lanes and their connectivities becomes visually apparent. This provides a way to make every Autopilot drive as good as someone driving their own commute, yet in a sufficiently general way that adapts for road changes.

Nothing Like Smooth Driving

Improved overall driving smoothness, without sacrificing latency, through better modeling of system and actuation latency in trajectory planning. Trajectory planner now independently accounts for latency from steering commands to actual steering actuation, as well as acceleration and brake commands to actuation. This results in a trajectory that is a more accurate model of how the vehicle would drive. This allows better downstream controller tracking and smoothness while also allowing a more accurate response during harsh manevuers.
Increased smoothness for protected right turns by improving the association of traffic lights with slip lanes vs yield signs with slip lanes. This reduces false slowdowns when there are no relevant objects present and also improves yielding position when they are present.
Reduced false slowdowns near crosswalks. This was done with improved understanding of pedestrian and bicyclist intent based on their motion.
Enabled creeping for visibility at any intersection where objects might cross ego’s path, regardless of presence of traffic controls.
Improved accuracy of stopping position in critical scenarios with crossing objects, by allowing dynamic resolution in trajectory optimization to focus more on areas where finer control is essential.
Reduced latency when starting from a stop by accounting for lead vehicle jerk.

Release notes for Full Self-Driving v10.69 are now available. ⬇️ https://t.co/lU8WDH4572
— Teslascope (@teslascope) August 21, 2022

Chuck’s Left Turn

Improved unprotected left turns with more appropriate speed profile when approaching and exiting median crossover regions, in the presence of high speed cross traffic (“Chuck Cook style” unprotected left turns). This was done by allowing optimizable initial jerk, to mimic the harsh pedal press by a human, when required to go in front of high speed objects. Also improved lateral profile approaching such safety regions to allow for better pose that aligns well for exiting the region. Finally, improved interaction with objects that are entering or waiting inside the median crossover region with better modeling of their future intent.

Safety is Number 1

Added control for arbitrary low-speed moving volumes from Occupancy Network. This also enables finer control for more precise object shapes that cannot be easily represented by a cuboid primitive. This required predicting velocity at every 3D voxel. We may now control for slow-moving UFOs.
Made speed profile more comfortable when creeping for visibility, to allow for smoother stops when protecting for potentially occluded objects.
Improved speed when entering highway by better handling of upcoming map speed changes, which increases the confidence of merging onto the highway.
Enabled faster identification of red light runners by evaluating their current kinematic state against their expected braking profile.

Tesla FSD “Brain” Improvements

Upgraded Occupancy Network to use video instead of images from single time step. This temporal context allows the network to be robust to temporary occlusions and enables prediction of occupancy flow. Also, improved ground truth with semantics-driven outlier rejection, hard example mining, and increasing the dataset size by 2.4x.
Upgraded to a new two-stage architecture to produce object kinematics (e.g. velocity, acceleration, yaw rate) where network compute is allocated O(objects) instead of O(space). This improved velocity estimates for far away crossing vehicles by 20%, while using one tenth of the compute.
Improved geometry error of ego-relevant lanes by 34% and crossing lanes by 21% with a full Vector Lanes neural network update. Information bottlenecks in the network architecture were eliminated by increasing the size of the per-camera feature extractors, video modules, internals of the autoregressive decoder, and by adding a hard attention mechanism which greatly improved the fine position of lanes.
Improved recall of animals by 34% by doubling the size of the auto-labeled training set.
Increased recall of forking lanes by 36% by having topological tokens participate in the attention operations of the autoregressive decoder and by increasing the loss applied to fork tokens during training.
Improved velocity error for pedestrians and bicyclists by 17%, especially when ego is making a turn, by improving the onboard trajectory estimation used as input to the neural network.
Improved recall of object detection, eliminating 26% of missing detections for far away crossing vehicles by tuning the loss function used during training and improving label quality.
Improved object future path prediction in scenarios with high yaw rate by incorporating yaw rate and lateral motion into the likelihood estimation. This helps with objects turning into or away from ego’s lane, especially in intersections or cut-in scenarios.

Tesla is rolling out FSD Beta v.10.69 in phases, starting with ~1,000 testers over the weekend. Once the update is rolled out for wide release, the price of FSD Beta will increase.

The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.

Tesla Model Y seen testing under wraps in India ahead of launch

Tesla appears to be getting closer to launching vehicle sales in India, as a few wrapped Model Y units have recently been spotted.

Published

19 hours ago

April 20, 2025

Zachary Visconti

Following years of back and forth between Tesla and the Indian government, the automaker is finally expected to launch sales in the country in the coming months, and one of the company’s vehicles was spotted testing over the weekend.

On Sunday, a privacy-wrapped Model Y was seen driving in India and was posted on Reddit, as Tesla prepares to debut vehicle sales in the country for the first time. The news comes a little over a month after Tesla began certifying the Model Y and Model 3 for sale in the country, and as the U.S. manufacturer gets ready to launch the nation’s first store in Mumbai.

The appearance of the refreshed Model Y comes just a few days after another recent sighting in the country, in which a wrapped unit was seen driving on the Mumbai Pune Express Way.

Credit: shameelck | Reddit

🚨 A Tesla Model Y has been spotted testing under a camo wrap in India on Mumbai's Pune Express Wayhttps://t.co/M082A3zoZE https://t.co/9UAHieBbqt

— TESLARATI (@Teslarati) April 15, 2025

Tesla’s vehicles can regularly be seen under privacy wraps such as this one ahead of their launch, often with the company’s vehicles before they’re officially unveiled. As such, many have speculated following the sighting that Tesla could either be preparing to launch the RWD variant launched in some markets in recent weeks, or the Performance version of the SUV, which is widely expected to debut sometime this year.

According to local reports, Tesla also signed a five-year lease on Mumbai store at the Bandra Kurla Complex, while a second store is expected to open near the New Delhi airport at Aerocity. Meanwhile, Tesla has also been hiring for the stores in recent months, along with holding a recruitment day in Mumbai last month.

Much of the delay on Tesla’s entry into India came from the country’s high import tariffs on vehicles and other products, while one of the government’s conditions for the country selling cars there was to utilize local suppliers. Last month, a rumor started circulating suggesting that Tesla was partnering with automotive company Tata Group for the local production of components such as castings, forgings, electronics, and more.

Tesla India: Thousands of cars set to hit Mumbai in coming months, claims report

Elon Musk

Tesla doubles down on Robotaxi launch date, putting a big bet on its timeline

Tesla continues to double down on its June goal to launch the Robotaxi ride-hailing platform.

Published

3 days ago

April 18, 2025

Joey Klender

Credit: Tesla

Tesla has doubled down on its potential launch date for the Robotaxi ride-hailing platform, which will utilize the Cybercab and other vehicles in its lineup to offer driverless rides in Austin, Texas.

Tesla said earlier this year that it was in talks with the City of Austin to launch its first Robotaxi rides, and it planned to launch the platform in June.

This has been a widely discussed timeline in the community, with some confident in the company’s ability to offer it based on the progress of the Full Self-Driving suite.

However, others are skeptical of it based on Tesla’s history of meeting timelines, especially regarding its rollout of FSD.

Nevertheless, Tesla was asked when it would be able to offer Robotaxi rides and where, and it clearly is not backing down from that June date:

In Austin, 🔜

— Tesla (@Tesla) April 18, 2025

It is getting to a point where Tesla is showing incredible confidence regarding the rollout of the Robotaxi in June. We have not seen this kind of reiteration regarding the rollout of something regarding autonomy from Tesla at any point in the past.

CEO Elon Musk has even been increasingly confident that Tesla will meet its target. Earlier this week, he said the vehicles will be able to roll off production lines and drive themselves straight to a customer’s house:

Elon Musk continues to push optimistic goal for Tesla Full Self-Driving

There could be some discussion of an acceptable grace period, as the timeline for the Robotaxi rollout could still be considered a success, even if it were a month or two late. However, if it were pushed back further into 2025 or even 2026, skepticism regarding these timelines would continue to persist.

As of right now, it seems Tesla is extremely confident it will meet its goal.

Elon Musk

Tesla Semi fleet from Frito-Lay gets more charging at Bakersfield factory

Published

3 days ago

April 18, 2025

Joey Klender

Tesla Semis showcased at Frito-Lay plant in Modesto, CA

Frito-Lay transformed its Modesto, Calif., site by replacing diesel fleet assets with ZE and NZE alternatives and installing fueling and charging infrastructure for the new fleet as well as on-site renewable energy generation and storage.

Among the several companies that have had the opportunity to add Tesla Semi all-electric Class 8 trucks to their fleets earlier than others, the most notable is arguably Frito-Lay, which has utilized the vehicle for a couple of years now.

However, as their fleet is making more local runs and there are undoubtedly plans to expand to more Semi units, the company has recognized it needs additional Megachargers to give juice to their trucks.

As a result, Frit-Lay decided to build more chargers at their Bakersfield, California facility, according to new permits filed by Tesla:

🚨 Frito-Lay is building an 8-stall Megacharger array at its factory in Bakersfield, California https://t.co/qARfJjogXF pic.twitter.com/gvorIVxsoc

— TESLARATI (@Teslarati) April 18, 2025

There are already chargers at the company’s Modesto, California, factory, but Bakersfield is roughly three hours south of Modesto.

Interestingly, Tesla is calling the chargers “Semi Chargers” in the filing, potentially hinting that it is no longer referring to them as “Megachargers,” as they have been in the past. This is a relatively minor detail, but it is worth taking note of.

In 2022, Frito-Lay began installing these chargers in preparation for the Semi to become one of the company’s main logistics tools for deliveries in California and surrounding states.

Frito-Lay is not the only company that has chosen to utilize the Tesla Semi for these early “pilot” runs. PepsiCo has also been a company that has used the Semi very publicly over the past two years.

Additionally, the Tesla Semi participated in the Run on Less EV trucking study back in late 2023, where it managed to complete a 1,000-mile run in a single day:

Tesla Semi logs 1,000-mile day in Run on Less EV trucking study

Tesla is planning to ramp production of the Semi late this year. On the Q4 2024 Earnings Call, VP of Vehicle Engineering Lars Moravy said the company would be focusing on the first builds of the Semi’s high-volume design late this year before ramping production in the early portion of 2026:

“We just closed out the Semi factory roof and walls last week in Reno, a schedule which is great with the weather. In Reno, you never know what’s going to happen. But we’re prepping for mechanical installation of all the equipment in the coming months. The first builds of the high-volume Semi design will come late this year in 2025 and begin ramping early in 2026.”

Tesla will build these units at a new Semi production facility located in Reno near its Gigafactory. The company is getting closer to finishing construction, as a drone video from this morning showed the facility is coming along at a good pace: