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

(Credit: Tesla)

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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.

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.

Maria--aka "M"-- is an experienced writer and book editor. She's written about several topics including health, tech, and politics. As a book editor, she's worked with authors who write Sci-Fi, Romance, and Dark Fantasy. M loves hearing from TESLARATI readers. If you have any tips or article ideas, contact her at maria@teslarati.com or via X, @Writer_01001101.

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Tesla Full Self-Driving impressions after three weeks of ownership

I will be fair and tell you all what I truly enjoy, as well as what frustrates me about Full Self-Driving.

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Credit: Joey Klender

Tesla Full Self-Driving is amongst the most robust and refined semi-autonomous driver assistance systems on the market today. After three weeks of ownership, I’ve driven around half of my miles using it, and my impressions put me right in the middle of it being very impressive and needing some work.

Of course, if it were perfect, it would be driving us all around all the time while we sleep, scroll our phones, or watch movies in the cockpit. It does a lot of things very well, and it has managed to impress everyone I’ve put in the passenger’s seat.

However, there are some things that are obvious pain points, situations that need improvement, and areas where I believe it has a long way to go. Regardless, these are things I have noticed, and they may differ from your opinions based on your location or traffic situations.

Tesla Model Y ownership two weeks in: what I love and what I don’t

I’ll try to keep it pretty even and just highlight the things that are truly noticeable with Full Self-Driving. I won’t be too critical of the things that it is bad at, and I won’t try to give it too much of a pat on the back.

I will be fair and tell you all what I truly enjoy, as well as what frustrates me about it.

*Disclaimer: These Full Self-Driving examples were in use with v13.2.9.

Where Tesla Full Self-Driving is Great

Highway Driving

I have yet to have a critical intervention of any kind on the highway. I have driven on easy highways like Rt. 30 in Pennsylvania, and I have driven on congested four-lane parking lots like I-695 near Baltimore, Maryland.

Tesla FSD does a tremendous job on all of it. I usually use the “Hurry” setting of FSD with an offset of between 25 and 40 percent, depending on what I’m doing and where I’m going. Sometimes, I want to push it a bit, and at other times, I’m okay with taking my time and enjoying the drive.

I find the driving style of Hurry is more similar to the traffic around me than the Standard, which tends to drive like an 80-year-old on their way to Bingo.

It does a great job of being considerate, maintaining an appropriate rate of travel, getting over for cars that are tailgating in the left lane after passing traffic, and it always is where it needs to be when it needs to be there.

Taking the Stress Out of Driving

A few nights ago, I was having some trouble sleeping, and I was up at 3 a.m. I decided it would be a good time to get up, grab a breakfast burrito and a coffee, and head to the Supercharger.

(If you don’t know, I do not have home charging, and I will be diving into EV ownership without that in a future article.)

I let FSD drive me to the Supercharger and back while I was done. I was able to enjoy a beautiful sunrise without having to focus all my attention on the traffic around me, while still maintaining enough attention to the road to keep the driver monitoring happy.

It was really nice. I enjoyed the ride, and it felt like I was in an Uber with a very careful driver while I enjoyed the rest of my coffee and peeked at the sky every few seconds.

Learning and Improving

A few weeks ago, I approached an “Except Right Turn” stop sign. I have discussed how these are a Pennsylvania specialty, and the first time FSD encountered one in my Model Y, it stopped, even though we were heading right.

I took over, submitted a voice memo to Tesla about it, and went on with my evening. A week later, the car approached the same turn, and, to my surprise, it proceeded through the Stop Sign correctly, safely, and at an appropriate speed.

It was nice to see this improvement, especially since this is one of those regional issues that Tesla will need to address before FSD is fully autonomous. The change even impressed my Fiancé, who was with me during both instances we came upon this turn.

Where Tesla Full Self-Driving Could Be Better

Auto Wipers

Good gravy, these Auto Wipers always seem to give me a good laugh.

They never really have the right speed; they are either way too fast or not fast enough. There’s never been a happy medium.

It also loves to activate a single wipe of the blade at the strangest times. I’ve noticed that it actually seems to activate at the same spots on the road sometimes. There’s a hanging branch near my house, and every time we go under it and FSD is activated, the wipers wipe once.

It would be nice to set your own intervals for the wipers, but I am okay with the current presets. I do hope the Auto Wipers improve, because it could be one of the best features the car has if it’s more accurate.

It Struggles with Signs That Require Reading

The “Except Right Turn” sign is one example, but another is a “Stop Here on Red” sign that is recessed from an intersection at a stop light if it’s a tighter turn. Recently, I had to slam on the brakes as it was headed straight through one of these signs.

It can recognize Stop Signs and Yield Signs, but signs with instructions for an intersection appear to present a greater challenge for FSD.

Sometimes, It Just Does Things I Don’t Like

There is a four-lane light near my house; the two right lanes go straight, but the lane furthest right is for turning into businesses past the intersection. Some people tend to go in that far right lane, even if they have no intention of turning right into the businesses, and take off quickly from the light to cut ahead.

I’m not saying it’s illegal or even wrong, but I personally prefer not to do it. I am never in that much of a hurry.

FSD tried to do that the other day; I intervened and kept it in the lane that is designed to go straight. I wouldn’t say this is technically an intervention. I would just say it’s a move I wasn’t super comfortable with because I know people tend to get frustrated with those who cut the line. It’s an etiquette issue, and I didn’t want FSD to do it.

I also am not a huge fan of when there is no traffic in the right lane, yet it continues to cruise in the fast lane. I was taught to drive in the right lane and pass in the left lane. There are states where cruising in the left lane is illegal, and it sometimes tends to stay in the passing lane too long for my liking. I will turn on my right signal and get back into the correct lane.

These are totally disputable, and I am aware of that. Some people might not see a huge issue with these two examples, and I can understand that. My courtesy on the road differs from others, and that’s okay.

All in all, I’m pretty happy with FSD, and I will be continuing my Subscription after the three-month trial ends. In the coming days, I’ll be picking up a camera for FSD videos, and I’ll be able to embed examples of what I mean, as well as share full-length videos of my drive.

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Tesla gets price target increase on Wall Street, but it’s a head-scratcher

Delaney’s price target on Tesla shares went up to $395 from $300. Currently, Tesla is trading between $420 and $430, making the new price target from Goldman Sachs a bit of a head-scratcher.

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Credit: Cybertruck | X

Tesla (NASDAQ: TSLA) received a price target increase from a Wall Street analyst today, who noted in his report that the company’s shares could rise or fall based on its execution in robotics and autonomy.

However, the price target boost still fell below Tesla’s current trading levels.

Mark Delaney of Goldman Sachs said in a note to investors today that Tesla has a significant opportunity to solidify itself as one of the stable and safe plays in the market if it can execute on its two key projects: humanoid robots and autonomy.

In the note, Delaney said:

“If Tesla can have [an] outsized share in areas such as humanoid robotics and autonomy, then there could be upside to our price target.”

Delaney’s price target on Tesla shares went up to $395 from $300. Currently, Tesla is trading between $420 and $430, making the new price target from Goldman Sachs a bit of a head-scratcher.

He went on to say that Tesla could also confront outside factors that would limit the stock’s ability to see growth, including competition and potentially its own lack of execution:

“…although if competition limits profits (as is happening with the ADAS market in China) or Tesla does not execute well, then there could be downside.”

The note is an interesting one because it seems to point out the blatantly obvious: if Tesla performs well, the stock will rise. If it doesn’t, the stock price will decline.

We discussed yesterday in an article that Tesla is one of the few stocks out there that does not seem to be influenced by financials or anything super concrete. Instead, it is more influenced by the narrative currently surrounding the company, rather than the technicals.

Tesla called ‘biggest meme stock we’ve ever seen’ by Yale associate dean

Tesla’s prowess in robotics and autonomy is strong. In robotics, it has a very good sentiment following its Optimus project, and it has shown steady improvement with subsequent versions of the robot with each release.

On the autonomy front, Tesla is expanding its Robotaxi platform in Austin every few weeks, and also has a sizeable geofence in the Bay Area. Its Full Self-Driving suite is among the most robust in the world and is incredibly useful and accurate.

The company can gain significant value if it continues to refine the platform and eventually rolls out a driverless or unsupervised version of the Full Self-Driving suite.

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Tesla addresses door handle complaints with simple engineering fix

“We’ll have a really good solution for that. I’m not worried about it.”

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Tesla Model S self-presenting door handle
Tesla Model S self-presenting door handle (Credit: TesBros)

Tesla is going to adjust one heavily scrutinized part of its vehicles after recent government agencies have launched probes into an issue stemming from complaints from owners.

Over the past few days, we have reported on the issues with Tesla’s door handle systems from both the Chinese and American governments.

In China, it dealt with the Model S, while the United States’ National Highway Traffic Safety Administration (NHTSA) reported nine complaints from owners experiencing issues with 2021 Model Ys, as some said they had trouble entering their car after the 12V battery was low on power.

Bloomberg, in an interview with Tesla Chief Designer Franz von Holzhausen, asked whether the company planned to adjust the door handle design to alleviate any concerns that regulatory agencies might have.

Regarding the interior latch concerns in the United States:

  • Von Holzhausen said that, while a mechanical door release resolves this problem, Tesla plans to “combine the two” to help reduce stress in what he called “panic situations.”
  • He also added that “it’s in the cars now…The idea of combining the electronic and the manual one together in one button, I think, makes a lot of sense.” Franz said the muscle memory of reaching for the same button will be advantageous for children and anyone who is in an emergency.

Regarding the exterior door handle concerns in China:

  • Von Holzhausen said Tesla is reviewing the details of the regulation and confirmed, “We’ll have a really good solution for that. I’m not worried about it.”

The new Model Y already has emergency mechanical door release latches in the back, but combining them in future vehicles seems to be an ideal solution for other vehicles in Tesla’s lineup.

It will likely help Tesla avoid complaints from owners about not having an out in the event of a power outage or accident. It is a small engineering change that could be extremely valuable for future instances.

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