Tesla released their updated vehicle safety report for Q1 2024, showing significant improvements in Autopilot safety.
Quarterly Improvements
For Tesla vehicles driving manually and leveraging Tesla’s safety features, Tesla recorded nearly 1 million miles driven before an accident, compared to about 500,000 miles for the industry average in the United States.
On the other hand, for vehicles using Autopilot or FSD, Tesla recorded nearly 7.63 million miles driven before an accident on average, which is a 15x improvement over the U.S. average. This is a considerable improvement over last quarter, where Tesla saw an average of 4.3 million miles before an accident and almost a 50% improvement year over year.
Model Y was the 2023 Top Safety Pick+
Not a Tesla App
Tesla’s Active Safety Features
Tesla’s Active Safety Features have a big part to play in the massive increase in the number of miles driven to accident ratio, with key features like Lane Departure Avoidance and Automatic Emergency Braking (AEB) all playing a major part in keeping Tesla drivers safe on the roads. Tesla recently updated their vehicles so that Automatic Emergency Braking works in reverse and at speeds over 100 MPH. As of 2023, AEB now also works for vehicles traveling perpendicular to Tesla vehicles.
In addition to Tesla’s active safety features, they also have some of the safest cars in the world due to the way they’re built. Recently, VP Lars Moravy shared a video (below) that explains Tesla’s front giga casting and why it makes the vehicle much safer.
Tesla’s Model S, X, 3, and Y, have the lowest overall probability of injury for vehicles tested by the US National Highway Traffic Safety Administration (NHTSA), and regularly achieve nearly perfect ratings in crash tests.
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As part of an update to its AI roadmap, Tesla has also announced the features that will be in FSD v13. Tesla provided many details about what we can expect, and there’s a lot of info to break down.
Tesla’s VP of AI, Ashok Elluswamy, also revealed that FSD v13 is expected to make FSD Unsupervised feature complete. That doesn’t mean that autonomy will be ready, as each feature will still need to work at safety levels higher than a human, but it means every key feature of autonomous vehicles will be present in FSD v13.
Let’s examine the v13 feature list Tesla and Tesla employees have recently provided to see exactly what’s coming.
Higher Resolution Video & Native AI4
FSD v12 has been trained using Tesla’s HW3 cameras and downsampling the AI4 cameras to match. For the first time, Tesla will use AI4's native camera resolution to get the clearest image possible. Not only will Tesla increase the resolution, but they’re also increasing the capture rate to 36 FPS (frames per second). This should result in extreme smoothness and the ability of the vehicle to detect objects earlier and more precisely. It’ll be a big boon for FSD, but it’ll come at the price of processing all of this additional information.
The HW3 cameras have a resolution of about 1.2 megapixels, while the AI4 cameras have a resolution of 5.44 megapixels. That’s a 4.5x improvement in raw resolution - which is a lot of new data for the inference computer and AI models to deal with.
Yun-Ti Tsai, Senior Staff Engineer at Tesla AI, mentioned on X that the total data bandwidth is 1.3 gigapixels per second, running at 36 hertz, with nearly 0 latency between capture and inference. This is one of the baseline features for getting v13 off the ground, and through this feature update, we can expect better vehicle performance, sign reading, and lots of little upgrades.
Bigger Models, Bigger Context, Better Data
The next big item is that Tesla will increase the size of the FSD model by three times and the overall context length by the same amount. What that means, in simple terms, is that FSD will have a lot more information to draw upon—both at the moment (the context length) and from background knowledge and training (model size).
In layman’s terms, Tesla has made the FSD brain bigger and increased the amount of information it can remember. This means that FSD will have a lot more data to work with when making decisions, both from what's happening right now and from what it has learned in the past.
Beyond that, Tesla has also massively expanded the data scaling and training compute to match. Tesla is increasing the amount of training data by 4.2 times and increasing their training commute power by 5x.
Video of the inside of Cortex today, the giant new AI training supercluster being built at Tesla HQ in Austin to solve real-world AI pic.twitter.com/DwJVUWUrb5
Tesla’s FSD has famously only relied upon visual data—equivalent to what humans can access. LiDAR hasn’t been on Tesla’s books except for model validation, and radar, while used in the past, was mostly phased out.
Now, Tesla AI will integrate audio intake into FSD’s models, with a focus on better handling of emergency vehicles. FSD will soon be able to react to emergency vehicles, even before it sees them. This is big news and is in line with how Tesla has been approaching FSD—through a very human-like lens.
We’re excited to see how these updates pan out - but there was one more thing. Ashok Elluswamy, VP of AI at Tesla, confirmed on X that they’ll add the ability for FSD to honk the horn.
Other Improvements
The other improvements, while major, can be summarized pretty simply. Tesla is focusing on improving smoothness and safety in various ways. The v13 AI will be trained to predict and adapt for collision avoidance, navigation, and better following traffic controls. This will make it more predictable for users and other drivers and improve general safety.
Beyond that, Tesla is also working on a better representation of the map and navigation inputs versus what FSD actually does. In complex situations, FSD may choose to take a different turn or exit, even if navigation is telling it to go the other way. This future update will likely close this gap and ensure that your route and FSD’s path planner match closely.
Of course, Tesla will also be working on adding Unpark, Reverse, and Park capabilities, as well as support for destination options, including parking in a spot, driveway, or garage or just pulling over at a specific point, like at an entrance.
Finally, they’re also working on adding improved camera self-cleaning and better handling of camera occlusion. Currently, FSD can and will clean the front cameras if they are obscured with debris, but only if they are fully blocked. Partial blockages do not trigger the wipers. Additionally, when the B-Pillar cameras are blinded by sunlight, FSD tends to have difficulties staying centered in the lane. This specific update is expected to address both of these issues.
FSD V13 Release Date
Tesla announced that FSD v13 will be released to employees this week, however, it’ll take various iterations before it’s released to the public. Tesla mentioned that they expect FSD v13 to be released to customers around v13.3, but surprisingly, they state that this will happen around the Thanksgiving timeframe — just a few weeks away.
Tesla is known for delays with its FSD releases, so we’re cautious about the late November timeline. However, the real takeaway is that FSD v13 is expected to offer a substantial leap in capability over the next few months—even if it’s exclusive to AI4.
As part of a recent update to the Tesla App, Tesla has added some slick new user interfaces to the Service and Roadside sections of the app. These new interfaces allow you to easily select the areas that are damaged or need attention.
These new screens in the service and roadside menus have been available in North America since at least late August, but appear to be rolling out to more users.
For now, it also appears to be restricted to the Model 3 (both original and 2024 Highland refresh), as well as the Model Y. The Model S and X, both redesigned or legacy - do not appear to have this new service menu just yet. The Cybertruck is the same - no unique service menu for it just yet, either.
Exterior Select Screen
In order to see this new screen, you can open up your Model 3 or Model Y’s service menu in the Tesla app. From there, you can select “Exterior” as the area of concern. Once there, you’ll be greeted with a short tutorial that will show you through the new interface.
Instead of having to type your areas of concern which could be ambiguous, this new interface makes it easy to select the affected areas. Just swipe left/right to view the car from different angles and tap the area that needs service.
Areas you select become highlighted in blue, and once you’re done selecting all of them, you can provide notes to each particular area. You can even select areas under the vehicle, like the front aero shield or center skid plate.
While most glass is selectable here, the windshield and top glass areas are a separate option in the service menu under Collision and Glass > Glass & Windows. However, windshield wipers in the second last visualization - Top.
Tire Select Screen
The Tire/Wheel Select Menu
Not a Tesla App
Similar to the Exterior and Glass screens, you can open the service menu and then select Tires & Wheels as your area of concern. You’ll have two sets of options here.
You can either go to Wheels > Wheel Damage; or Tires > Replacement Tires. Here, you’ll be able to identify specific wheels or tires for service as required.
The app's roadside section offers a similar tire view, which lets you select which tire is flat.
Thanks to its app and mobile service, Tesla has been providing one of the best service experiences in the industry. While they still have work to do regarding part availability and reasonable wait times, their technology and simplicity continue to impress. We’re excited to see what improvements they’ll make next.
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