With version 9 of the FSD Beta Tesla has rolled out an updated view of the car visualizations, known as “Mind of the car.”
Elon Musk is calling the visualizations, 'mind of the car' because Tesla is attempting to show you what the car is recognizing and it's confidence level in a visual way.
The new visualizations are combining what the FSD beta used to recognize in beta 8 and earlier into a more production ready visualization. The visualization is similar to the production version in Teslas today, but it's much more advanced in what it shows. The new visualizations are all 3D objects rendered on the screen instead of the dots and rectangles we saw in earlier betas.
The updated visualizations are able to render complicated intersections, curves and turns. Similar to earlier betas they paint road boundaries in red and divide on-coming traffic with same-way traffic with a purple line. The yellow lines represent their real life counterparts, lines that you should not cross on the road. In addition lane markings are more consistent and smooth.
Tesla FSD beta 9 visualization is amazing. Hope this will be incorporated in upcoming V11 software pic.twitter.com/gbUKjSXiyl
With this beta, Tesla also switched over to vision only and stopped relying on radar. Due to improvements with their vision detection the car is now able to detect and display objects much more accurately. The car detects and displays more vehicles in the visualizations and more detailed surroundings. Additional details have also been added to existing visualizations, such as brake lights that will now appear on the cars if they have their brakes applied. Cross walks are displayed on the streets.
The visualizations are smoother and more detailed than they have ever been. They can now accurately show cars crossing an intersections in front of you. Compared to what is in production today, it's a world of a difference. Cars will no longer skip or disappear when taking a turn in an intersection ahead of you.
Tesla found a clever way to show how confident the vehicle is in each object it's displaying. The brightness and translucency of each object will vary, depending on the confidence level of the neural net for that object.
Mind of car visualization will improve a lot in coming releases.
Brightness/translucency indicate confidence of neural net in predicting any given object.
Acid test is being able to assess with quick glance at screen if car fully understands environment.
Although previous betas showed a rectangular prism for each object detected, even if the car didn't recognize what the object was, this beta requires knowing what the object is before it will render it on the screen.
I expect this to change and Tesla to not only add many more 3D assets, but also to come up with a way to show an unknown object. Maybe they go back to a 3D rectangle for these situations. Elon Musk has said that car visualizations will “improve a lot in coming releases.” He recently commented that turn signals, hand gestures and more are going to be added soon.
In order for Tesla to achieve a high level of autonomy, they will essentially need to be able to build a highly detailed video game that represents the real world, in real-time. We are getting closer and the visualizations help us understand what the car sees and understands. With the ‘Mind of the car' visualizations we will now be able to tell how confident the car is in determining certain situations and that will let us better understand when we should take over.
Tesla’s Cybertruck has officially earned a 5-Star Safety Rating from the NHTSA—an impressive achievement given the vehicle’s design. The achievement demonstrates Tesla’s engineering prowess. As one engineer points out, it wasn’t an easy feat.
Interestingly, the NHTSA only recently disclosed the results, despite the crash tests being completed a while ago. According to Lars Moravy, Tesla’s VP of Vehicle Engineering, the team had been aware of the 5-star rating for quite some time. While the reason for the delay remains unclear, now that the results are public, Tesla’s engineers can finally share how they achieved the rating.
Crumple Zones
Wes Morril, the Cybertruck’s Lead Engineer, wrote about the crash test video on X recently, addressing the claims that the Cybertruck doesn’t have a crumple zone. He also posted a side-by-side video (below) of the engineering analysis and the crash test itself.
Engineered Crash Safety
There’s a lot of engineering precision at play when a Cybertruck is involved in a crash. Unlike traditional crash structures that rely on crash cans and collapse points, the Cybertruck’s front gigacasting is designed to absorb and redirect impact forces in a highly controlled manner.
It all starts with the bumper beam, which crushes within the first few milliseconds of a high-speed impact. At the same time, the vehicle’s sensors rapidly analyze the crash dynamics and determine the optimal deployment of safety restraints, including airbags and seat belt pre-tensioners. These split-second actions are crucial in keeping occupants safe.
As the crash progresses, the vehicle’s structure deforms in a carefully engineered sequence. The drive unit cradle bends, directing the solid drive unit downward and out of the way, allowing the gigacasting to begin absorbing impact forces.
The casting crushes cell by cell, methodically dissipating energy in a controlled manner. This gradual deceleration reduces the g-forces transferred to occupants, making the crash much less severe. As the gigacast begins crushing, the safety restraints are deployed.
As Wes points out in his post - you can see how accurate the virtual analysis and modeling were. The video shows the simulated crash side by side with the real-life crash test and they’re almost identical. All that virtual testing helps provide feedback into the loop to design a better and safer system - one that is uniquely different than any other vehicle on the road.
All the armchair experts claimed the Cybertruck has no crumple zone and I get it, the proportions seem impossible. It was a tough one and there is a lot of engineering that went into it. Let me break it down for you:
Tesla has pioneered the use of single-piece castings for the front and rear sections of their vehicles, thanks to its innovative Gigapress process. Many automakers are now following suit, as this approach allows the crash structure to be integrated directly into the casting.
This makes the castings not only safer but also easier to manufacture in a single step, reducing costs and improving repairability. For example, replacing the entire rear frame of a Cybertruck is estimated to cost under $10,000 USD, with most of the expense coming from labor, according to estimates shared on X after high-speed rear collisions.
These insights come from Sandy Munro’s interview (posted below) with Lars Moravy, Tesla’s VP of Vehicle Engineering, highlighting how these advancements contribute to the improvements in Tesla’s latest vehicles, including the New Model Y.
However, with the new Model Y, Tesla has decided to go a different route and eliminated the front gigacast.
No Front Casting
Tesla’s factories aren’t equipped to produce both front and rear castings for the Model Y. Only Giga Texas and Giga Berlin used structural battery packs, but these were quickly phased out due to the underwhelming performance of the first-generation 4680 battery.
Tesla has gone back to building a common body across the globe, increasing part interchangeability and reducing supply chain complexity across the four factories that produce the Model Y. They’ve instead improved and reduced the number of unique parts up front to help simplify assembly and repair.
There is still potential for Tesla to switch back to using a front and rear casting - especially with their innovative unboxed assembly method. However, that will also require Tesla to begin using a structural battery pack again, which could potentially happen in the future with new battery technology.
Rear Casting Improvements
The rear casting has been completely redesigned, shedding 7 kg (15.4 lbs) and cutting machining time in half. Originally weighing around 67 kg (147 lbs), the new casting is now approximately 60 kg (132 lbs).
This 15% weight reduction improves both vehicle dynamics and range while also increasing the rear structure’s stiffness, reducing body flex during maneuvers.
Tesla leveraged its in-house fluid dynamics software to optimize the design, resulting in castings that resemble organic structures in some areas and flowing river patterns in others. Additionally, manufacturing efficiency has dramatically improved—the casting process, which originally took 180 seconds per part, has been reduced to just 75 seconds, a nearly 60% time reduction per unit.
Advancements in die-casting machines and cooling systems have allowed @Tesla to dramatically reduce cycle times and improve dimensional stability. pic.twitter.com/WB5ji67rvV
Tesla’s new casting method incorporates conformal cooling, which cools the die directly within the gigapress. Tesla has been refining the die-casting machines and collaborating with manufacturers to improve the gigapress process.
In 2023, Tesla patented a thermal control unit for the casting process. This system uses real-time temperature analysis and precise mixing of metal streams to optimize casting quality. SETI Park, which covers Tesla’s manufacturing patents on X, offers a great series for those interested in learning more.
The new system allows Tesla to control the flow of cooling liquid, precisely directing water to different parts of the die, cooling them at varying rates. This enables faster material flow and quicker cooling, improving both dimensional stability and the speed of removing the part from the press for the next stage.
With these new process improvements, Tesla now rolls out a new Model Y at Giga Berlin, Giga Texas, and Fremont every 43 seconds—an astounding achievement in auto manufacturing. Meanwhile, Giga Shanghai operates two Model Y lines, delivering a completed vehicle every 35 seconds.
![A Look at the Tesla Cybertruck’s Crumple Zones [VIDEO]](https://www.notateslaapp.com/img/containers/article_images/cybertruck/cybertruck-crash-test.webp/e43ef2433bd6e44ae8db63421604a4fb/cybertruck-crash-test.jpg)
