Tesla is creating San Francisco in a simulation to help train Autopilot
Tesla
Tesla may be ramping up how it uses simulation to train its Autopilot system. A report by Electrek asserts that it has sources claiming that the company is concentrating on a reproduction of San Francisco. The article includes an image of the recreation and states that Tesla is working with Real Engine on its simulation.
According to Electrek, the image below is part of Tesla's simulation of San Francisco.
An image of Tesla's San Francisco simulation that was obtained by Electrek
Electrek
Tesla gave the world a look at how it uses simulation to advance the Autopilot program during the first AI Day in August of 2021 (recap).
AI Day
At the first AI Day Tesla talked about the use of using simulations to help train Autopilot. The video below is cued up to where they discuss a simulation.
Ashok Elluswamy, the Director of the Autopilot Program, showed a video that, at first glance, looked real other than an appearance by a Cybertruck. “I may say so myself. It looks very pretty,” said Elluswamy. He explained that the company is investing heavily in using simulation. “It helps when data is difficult to source. As large as our fleet is (FSD Beta users), it can still be hard to get some crazy scenes,” the director explained while showing a rendering of two people and a dog running in the middle of a busy highway. “This is a rare scene, but it can happen, and Autopilot still needs to handle it when it happens,” said Elluswamy.
It appears that Tesla has jumped on Fortnite’s Battle Bus by teaming up with Epic Games and its development platform — Unreal Engine. Fortnite is one of the most popular games of all time, with 80 million subscribers and 4 million daily users, and it was created with Unreal Engine. Epic flexed its creative muscles when it gathered experts to create The Matrix Awakens: An Unreal Engine 5 Experience. The goal was to “blur the boundaries between cinematic and game, inviting us to ask — what is real?” The project spotlight on Unreal Engine shows just how incredibly realistic a simulation can be.
After Elluswamy explained that the company is investing in simulation, it makes sense that Tesla would be hiring several positions with simulation in the job description. Electrek pointed out one posting for Autopilot Rendering Engineer. The posting states the successful candidate “will contribute to the development of Autopilot simulation by enabling and supporting the creation of photo-realistic 3D scenes that can accurately model the driving experience in a wide range of locales and conditions.” Tesla prefers the candidates have experience working with Unreal Engine.
While not new, this does show that Tesla is doubling down on efforts to improve Autopilot. It has recently rolled out Full Self Driving to 60,000 more users, bringing the FSD Beta program to 160,000 in North America.
We can only guess how many thousands of simulations the Autopilot team is conducting to add to the data the Beta testers are collecting. It seems unlikely that Tesla has only created the City by the Bay in its simulations. Perhaps Elluswamy will show more renderings at the second AI Day on September 30th.
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Tesla’s been on a roll with Supercharger improvements lately, from the 325kW charging update for the Cybertruck, to 500kW with V4 Superchargers coming next year. While those improvements have been limited to the Cybertruck, Tesla didn’t put all their focus on their new flagship vehicle, but looked at their more affordable vehicles as well.
LFP Battery Heating
Tesla’s Superchargers can now heat LFP Batteries - those that are in the Model 3 and Model Y Rear Wheel Drive variants. This applies to Long Range and Standard Range models, which saw a limited run. This is another update included as part of the 2024 Tesla Holiday Update - which really arrived with a lot of unannounced new features and capabilities.
The change is pretty interesting - Superchargers of the V3 and V4 variety can now pre-heat batteries for Model 3 and Model Y vehicles equipped with LFP battery packs. That means those vehicles are able to get back on the road faster when it's extremely cold. Of course, Tesla still advises you to precondition before you arrive, saving drivers time and money.
Max de Zegher, Tesla’s Director of Charging, also commented on the new feature. Essentially, Tesla is inducing an AC (alternating) ripple current through the battery to warm it up. Keep in mind that Superchargers are DC charging. That means it is possible to get a cold-soaked LFP vehicle on the road 4x faster than before, assuming that it didn’t precondition at all and that it is in the worst-case scenario (below 0ºF).
In essence, Tesla is using some engineering magic to turn the circuits inside the LFP battery into an electric heater - and powering that heater through the Supercharger. An AC ripple current is a small oscillation in the DC charging current that generates heat through electrical resistance, warming up the battery. Those ripples are a byproduct of converting AC to DC and back - so Tesla is using the onboard charger to induce those ripples to warm up the battery. Definitely an innovative technique that’s really only possible with the versatility of the NACS connector.
We’re hoping Tesla can implement this across their full lineup of vehicles, but we’ll have to wait and see how it is trialed across LFP vehicles first and if it is even possible on vehicles with 2170 or 4680 battery packs.
Tesla launched two FSD updates simultaneously on Saturday night, and what’s most interesting is that they arrived on the same software version. We’ll dig into that a little later, but for now, there’s good news for everyone. For Hardware 3 owners, FSD V12.6.1 is launching to all vehicles, including the Model 3 and Model Y. For AI4 owners, FSD V13.2.4 is launching, starting with the Cybertruck.
FSD V13.2.4
A new V13 build is now rolling out to the Cybertruck and is expected to arrive for the rest of the AI4 fleet soon. However, this build seems to be focused on bug fixes. There are no changes to the release notes for the Cybertruck with this release, and it’s unlikely to feature any changes when it arrives on other vehicles.
FSD V12.6.1 builds upon V12.6, which is the latest FSD version for HW3 vehicles. While FSD V12.6 was only released for the redesigned Model S and Model X with HW3, FSD V12.6.1 is adding support for the Model 3 and Model Y.
While this is only a bug-fix release for users coming from FSD V12.6, it includes massive improvements for anyone coming from an older FSD version. Two of the biggest changes are the new end-to-end highway stack that now utilizes FSD V12 for highway driving and a redesigned controller that allows FSD to drive “V13” smooth.
It also adds speed profiles, earlier lane changes, and more. You can read our in-depth look at all the changes in FSD V12.6.
Same Update, Multiple FSD Builds
What’s interesting about this software version is that it “includes" two FSD updates, V12.6.1 for HW3 and V13.2.4 for HW4 vehicles. While this is interesting, it’s less special when you understand what’s happening under the hood.
The vehicle’s firmware and Autopilot firmware are actually completely separate. While a vehicle downloading a firmware update may look like a singular process, it’s actually performing several functions during this period. First, it downloads the vehicle’s firmware. Upon unpacking the update, it’s instructed which Autopilot/FSD firmware should be downloaded.
While the FSD firmware is separate, the vehicle can’t download any FSD update. The FSD version is hard-coded in the vehicle’s firmware that was just downloaded. This helps Tesla keep the infotainment and Autopilot firmware tightly coupled, leading to fewer issues.
What we’re seeing here is that HW3 vehicles are being told to download one FSD version, while HW4 vehicles are being told to download a different version.
While this is the first time Tesla has had two FSD versions tied to the same vehicle software version, the process hasn’t actually changed, and what we’re seeing won’t lead to faster FSD updates or the ability to download FSD separately. What we’re seeing is the direct result of the divergence of HW3 and HW4.
While HW3/4 remained basically on the same FSD version until recently, it is now necessary to deploy different versions for the two platforms. We expect this to be the norm going forward, where HW3 will be on a much different version of FSD than HW4. While each update may not include two different FSD versions going forward, we may see it occasionally, depending on which features Autopilot is dependent on.
Thanks to Greentheonly for helping us understand what happened with this release and for the insight into Tesla’s processes.
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