Tesla registered a new high resolution radar unit with the U.S. Federal Communications Commission (FCC). Tesla's intended use for these radar units is unknown, but it appears they are intended for imaging, similar to how LiDAR uses lasers to map surroundings.
While Tesla's FSD software has used radar in the past, Elon Musk has a rather unfavorable stance on LiDAR. For the purposes of autonomous driving, Musk sees LiDARs as a "fool's errand." Yet, people have been spotting Tesla prototypes with LiDAR sensors since last year.
Tesla files a patent for a high-res radar sensor
The latest instance of Tesla using LiDAR comes from Twitter user @ManuelRToronto who spotted a LiDAR-mounted Tesla in downtown Toronto, only a few weeks after the release of FSD Beta in Canada.
He took a video of the LiDAR-mounted Model Y with manufacturer license plates from California.
There has been no official announcement from Tesla about these LiDAR-mounted vehicles, but it is safe to assume that Tesla will not use LiDAR on any production vehicles.
Tesla is likely using LiDAR to help train their machine learning algorithms, using it as the ground truth when checking for accuracy. Unlike cameras, LiDAR captures extremely accurate 3D depth measurements.
LiDAR could be used to train these algorithms to accurately interpret depth by relying on precise, non-interpretive LiDAR sensors.
Cameras are limited to 2D data combined with computer vision algorithms to interpret 3D depth. The downside to this approach is that it requires a computational process versus having precise 3D depth measurement from a LiDAR sensor.
However, LiDAR sensors are expensive; the benefit of relying solely on cameras is that it makes Teslas much more affordable.
LiDAR can't be the only sensor used in a vehicle since it can only build a wireframe 3D environment. Without cameras it wouldn't be able to read traffic signs, traffic lights or anything that doesn't have depth.
Vehicles with LiDAR also rely on camera data and fuse the two outputs of the two sensors together to build a virtual representation of the real world.
Musk believes that self-driving cars should navigate the world in the same manner as human drivers. Since humans use their eyes and brain to navigate three-dimensional space, cars with cameras and enough computational power should be able to achieve the same thing.
"Humans drive with eyes and biological neural nets, so it makes sense that cameras and silicon neural nets are the only way to achieve a generalized solution to self-driving, " says Elon Musk.
While other self-driving initiatives like Google's Waymo have taken a LiDAR approach, Tesla is outpacing the competition using vision-only, machine learning and the network effect of over 100,000 vehicles in the FSD Beta program.
Tesla's vision-only approach has become smart enough that adding radar data gives the system more information than it needs and disorients the FSD software.
LiDAR and radar may be helpful in training the FSD software, but Tesla wants to avoid using multiple sensors with potentially conflicting perceptions that would overwhelm the system.
With Tesla's recent patent of a high resolution radar, and the recent reported use of LiDAR, it is possible that Tesla's Robotaxi will employ radar and/or LiDAR in order to reach full automation.
Levels of driving automation
Synopsys
Tesla's FSD software could eventually be segmented into consumer and commercial self-driving vehicles with consumer vehicles reaching conditional autonomy (L2/L3) using vision-only and commercial vehicles reaching full autonomy (L4/L5) with the help of radar or potentially even LiDAR sensors.
Commercial robotaxis could even be multi-sensor (cameras, radar, LiDAR), costing much more, while consumer self-driving vehicles would be vision only and more affordable.
If you hop into your Tesla and say ‘Hi’ or ‘Hello’ after pressing the Voice Command button, there is a good chance it’ll reply with “Hello!” This is the newest and most interesting piece of news pointing us to the conclusion that a Tesla voice assistant is on the way.
Previously, if you tried this, it would simply return “Command not understood.” This is the first time the vehicle is responding and interacting with the user.
Experience It Yourself
You’ll need to have your vehicle language set to English. Once that’s done, you can use the voice command button on your steering wheel or yoke - for the Model 3 and Model Y, push the right wheel button, and for the Model S, Model X, and Cybertruck, press the button. Then go ahead and say Hi or Hello.
The Hello! response may even have regional differences. For a German Tesla owner, after setting his language to English, the response came back as “Hallo.” We’re interested to see what the responses may be in other regions, so let us know if you notice anything interesting.
We’ve tried a few other basic things, but it seems that, for now, the vehicle only replies to a simple greeting. Asking it what time it is or the $TSLA stock price doesn’t seem to do much yet - unless you’re in China with the updated Smart Assistant.
Not a Tesla App
Server-Side Update
This update appears to be happening over Tesla’s voice system backend and doesn’t require the Holiday Update. Users who aren’t on the Holiday Update are reporting that they’re getting this new response as well.
We already know that Tesla interprets speech remotely, and the driver’s voice is not processed in the vehicle. Instead, the voice snippet is transmitted to Tesla’s servers, where Tesla processes it and sends a response back to the vehicle so that the vehicle can interpret it. This is unlikely to change with a smart assistant, as Elon Musk has already said that Grok will still process data server-side instead of on-device.
Many users recently also noticed significant improvements to voice commands, saying that the system understands them better and that responses now come back faster.
All of these things point to a new backend system for voice processing that Tesla is testing. It’s not unusual for a company to switch to a new backend process but keep the capabilities the same as the legacy system until it’s ready to roll out the new features. At that point, it’s simply a flip of a switch to allow the new capabilities.
The new smart assistant that was rolled out in China is mostly a backend change, with the in-vehicle experience largely remaining the same. The activation method (button press) and user interface remain the same. What changed is the response that comes back from the server, and the assistant gained a voice. The new voice we receive with a smart assistant could very well be the new voice users are experiencing in the navigation system in newer vehicles.
Below is a video of the voice assistant in China:
Vehicle Support - Intel?
When China received the Smart Assistant, it was locked to cars equipped with AMD Ryzen processors only. Shortly after its initial launch, it became available to older cars with Intel Atom processors as well.
However, we’re not sure whether it would apply to legacy Model S and Model X owners. A legacy vehicle owner had their vehicle report “Command not understood” when they tried the ’Hi’ voice command.
Grok for Tesla
Elon has previously mentioned that Tesla vehicles would receive Grok AI. Grok, as of yet, still doesn’t have live speech support like other LLM models such as OpenAI’s ChatGPT or Google’s Gemini. However, a major update to Grok just brought massively improved image generation via a new model called Aurora.
xAI has been hard at work improving Grok, and we’re sure that live speech support is on its way soon. Once that feature arrives on X, Tesla will likely be well-positioned to enable a Grok-powered smart assistant fleet-wide with a flick of a switch.
Yesterday, we reported that Tesla updated their Steam integration on Model S and Model X vehicles. The update was part of their 2024 Holiday Update, but it looks like there may be more to this than a simple update.
Steam, a video game library app, makes it easy for users to buy or launch games on their computers. However, a couple of years ago, Valve, who created Steam, launched their own standalone device, the Steam Deck. The Steam Deck runs a custom OS based on Linux.
Steam Launch
When Tesla launched the redesigned Model S and Model X, Tesla introduced a dedicated gaming GPU with 16GB of RAM and touted the ability to play top-tier PC games in Tesla vehicles.
In 2022, Tesla finally launched the Steam app for the Model S and Model X as part of its 2022 Holiday Update. The Steam app runs Steam OS, the same OS as the Steam Deck in a virtual environment.
However, earlier this year, Tesla stopped including the GPU and Steam (Beta) in their vehicles, and we haven’t seen any updates to the Steam in quite some time. In fact, we thought Tesla was axing their gaming-on-the-go dreams.
SteamOS Update
The Steam app, which is still in Beta, is getting an interesting update for the Model S and Model X vehicles with the discrete GPU.
Those vehicles received an update to SteamOS 3.6 - the same version of SteamOS that runs on the Steam Deck. While nothing has visually changed, there’s a long list of performance optimizations under the hood to get things running smoother.
Comparing Steam Deck to Tesla Vehicles
Let’s take a look at the Steam Deck - according to Valve, its onboard Zen4 CPU and GPU combined push a total of 2 TFlops of data, which is fairly respectable, but much lower than today’s home consoles. The Steam Deck is capable of 720p gaming fairly seamlessly on low-to-medium settings on the go and is also built on the AMD platform.
AMD-equipped Teslas, including the Model 3 and Model Y, are packing an older Zen+ (Zen 1.5) APU (processor with a combined CPU and GPU). AMD claims that the V1000 - the same embedded chip as on AMD Tesla vehicles (YE1807C3T4MFB), brings up to 3.6 TFLops of processing power with it, including 4K encoding and decoding with the integrated GPU on board.
While that’s not enough for 4K gaming or comparable to a full-blown console or desktop GPU, that’s enough raw horsepower for light gaming and is currently more powerful than the Steam Deck.
The Model S and Model X’s GPU brings that up to about 10TFlops of power - comparable to modern consoles like the Xbox Series X at 12 TFlops.
Steam Gaming for All Vehicles?
The fact that Tesla is updating SteamOS even though the feature is no longer available in any new vehicles could indicate that Tesla is not only bringing Steam back to Teslas but that it’s going to play a much bigger role.
While SteamOS is run in a virtual environment on top of Tesla’s own OS, we could see Tesla bring SteamOS to all of its current vehicles, including the Model 3, Model Y, and Cybertruck. Steam in these vehicles would likely support any game that’s capable of running on the Steam Deck.
We think this Steam update, which includes performance improvements and a variety of fixes, has quietly passed under most people’s radars. This could be a very exciting update for those who enjoy gaming, especially for those who love to do it in their Tesla.
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