Tesla uses a combination of map data and vision data for FSD visualizations
@ArthurFromX
Tesla’s FSD visualizations are admittedly one of the coolest parts of owning a Tesla. Seeing vehicles all around you on the screen, and watching the car make decisions can be mesmerizing.
However, have you ever wondered exactly how the car generates the visualizations? Is it real-time, or does it rely on map data that is downloaded separately from the vehicle’s firmware?
Map Data
Tesla distributes map data to vehicles worldwide separately from its vehicle firmware versions. This means that the map data updates can have a different tempo than the firmware updates. For instance, some cars on 2024.8.9 (an FSD V11 version from ~3mo ago), as well as cars on 2024.14.7 (an FSD V12 version from just a few days ago) just started receiving the NA-2024.8-14924 map update last week. These updates ensure that vehicles can get the most current information about road layouts, traffic patterns, and other critical driving data.
While FSD can usually work with different map versions, how much does FSD and the in-car visualizations rely on the predefined map data? It obviously uses it for some things such as speed limit, but does it use it more than that? Thanks to user, ArthurFromX on X, we now have a better idea of how much relies on map data.
FSD Visualizations
Tesla’s FSD visualizations rely on a combination of pre-mapped data and real-time information gathered by the cameras. This approach provides both background context (pre-mapped data), as well as real-time context via computer vision.
It all comes together to provide an accurate representation of what the car sees around it, taking into account the width, height, and length of nearby vehicles, curbs, and other objects, such as garbage bins or traffic cones.
A post on X highlighted that FSD visualizations might be more impacted by background data than initially thought. The post mentioned that construction to a local roundabout rendered the visualizations inaccurate, although the car was correctly navigating the lane and making its exit.
This suggests that while real-time data is crucial, the accuracy of pre-mapped data still plays a significant role in the overall effectiveness of FSD visualizations, and perhaps a lesser role in the actual decision-making process of FSD.
FSD Navigation
Of course, these visualizations impact more than just what you see on screen. The mapping data and real-time data provide information on how the vehicle plans its path, and how it makes driving decisions, such as moving into right, or left-turn lanes as required.
Mapping data most likely provides background information, enabling the onboard hardware to process and work on driving the vehicle with an initial idea of where it is and what the road looks like.
In short, map data plays a backseat role to the actual driving of FSD, but does play a bigger role in route decision, as well as providing context and predictions to what the vehicle sees. It seems at the moment that visualizations are based on a combination of map data and camera data the vehicle gathers.
Tesla recently introduced Buy Now, Pay Later (BNPL) payment options in the United States and Canada for items in the Tesla Shop, letting owners pay later for new vehicle accessories.
However, with Tesla app update 4.46, they’re expanding support to a much more critical area — Tesla Service. Qualifying owners in the U.S. and Canada will now be able to use Pay Later options for service performed by Tesla, which includes maintenance or repairs.
Services are provided by Affirm and Klarna, as per Mark Fonte, a Senior Software Engineer working on the Tesla app.
The new feature is seamlessly integrated into the existing service workflow within the Tesla app.
On the Service Estimate, before work on the vehicle begins, you will see a new message on the estimate screen: Pay over time - see if you qualify.
Tapping this link opens the payment calculator, which allows you to view potential payment structures and monthly costs. This provides a clear picture of what a payment plan would look like before you commit to servicing your vehicle.
Additionally, after service is complete and you are ready to pay, the final payment screen will present Affirm and Klarna (region-dependent) as selectable payment methods, alongside the usual options of Tesla Credit or your primary payment card.
Tapping Affirm or Klarna here will reopen the payment calculator, and a confirmation prompt will appear before selecting either BNPL option.
Service Now, Pay Later
Overall, the integration of BNPL providers for service is a thoughtful one for vehicle owners. The terms can vary widely, so it’s important to compare them to other payment options you may have access to. The additional financial flexibility, when faced with a large repair bill, allows more owners to get their vehicle professionally and properly serviced by Tesla.
For those getting larger work done, such as high-voltage battery pack replacements, this is an excellent option to spread payments over a longer period, helping reduce the burden of vehicle repair.
With the launch of Tesla’s Robotaxi Network, we didn't just get a peek into the future of transportation—we got a detailed look at the next version of FSD.
Videos from early access riders revealed some additional capabilities over current public FSD builds, showing off how it handles emergency vehicles and more.
Safety First for First Responders
One of the biggest changes in FSD’s capabilities is its improved handling of emergency vehicles. During a ride in Austin, Robotaxi is seen identifying an approaching ambulance using a combination of visual and audio data, activating its turn signal, and smoothly pulling over to the side of the road to let the ambulance by (video below).
This is a driving task that requires more than simple awareness of laws. It requires reasoning skills to determine where to move the vehicle to create a safe path, as well as the ability to quickly identify an ambulance or another emergency service vehicle with its sirens and lights activated. Understanding the context and executing a safe and predictable maneuver is crucial, as a wrong maneuver could actually make matters worse.
For FSD and Robotaxi to gain both public trust and regulatory approval, this skill is non-negotiable, and Tesla demonstrated its advancements right here. It’s not surprising Tesla added this ability before Robotaxis made it to public roads.
How does a fleet of Robotaxis keep its eyes clean without constant human intervention? Well, a clever new feature that Tesla has previously hinted at in their FSD release notes provides the answer. Robotaxi can now trigger a specific wiper and washer fluid sequence designed to clean the main front-facing cameras.
This might seem like a small detail, but it’s a brilliant solution to one of Tesla’s primary challenges - maintaining sensor clarity. While the vehicle could simply wipe the windshield multiple times, this is a clever solution to clean the most important area of the windshield as thoroughly as possible by focusing extra wiper fluid and wipes on that area.
Complex Maneuvers
Two areas where current builds of FSD V13.2.9 sometimes show hesitation are U-turns and navigating busy parking lots. The latest Robotaxi build appears to improve on both of these areas.
This first video shows a Robotaxi performing a flawless U-turn with no hesitation, and then smoothly switching lanes to take a turn.
Another video on X shows FSD’s updated confidence in navigating a complex parking lot for a precise drop-off. Today’s builds can sometimes struggle in parking lots, being slow and overly cautious when not needed, or too confident elsewhere. This appears to have been improved in these Robotaxi FSD builds with improved path planning and confidence.
Tesla Robotaxi service is just so smooth. Handles parking lots very well, noticeably better than the competitors pic.twitter.com/D5OxSrajCW
We’re also likely to see FSD begin to handle more complex destination options, including parking garages and driveways, which have been promised features for almost a year. The Robotaxi FSD build has also gained the ability to safely pull over on a road, similar to the ambulance example above, but it uses this capability to drop off and pick up passengers. This is a feature that was mentioned in FSD v13.2’s Upcoming Improvements section.
Better Nighttime Performance
Driving at night presents additional challenges, including headlight glare and reduced visibility. The latest version of FSD appears to handle it with almost the same grace as it does during the day. Remember that Tesla’s Robotaxis are available up until midnight. Early access riders mentioned that FSD is far smoother and is a step up from the behavior of current FSD builds.
Impressive nighttime performance from Tesla Robotaxi, dropping us off at In-N-Out as smoothly as it did during the day. pic.twitter.com/yQOhphtR0q
Now, what happens when a passenger feels unsafe or has a critical question? Tesla has placed two key buttons on the rear screen for just those purposes. Users are given control over the ability to Call Support, which almost instantly connects them with a real human agent at Tesla’s Robotaxi Operations Center via video call.
Here’s what happens when you hit the support button in Tesla’s Robotaxi’s.
While it isn’t a fundamental driving feature, it does mean that Tesla’s team can provide support to Robotaxi vehicles remotely, like issuing directive commands to have a vehicle proceed straight, rather than attempting to turn through a gated community.
The other option, Pull Over, allows a rider to immediately request the vehicle to safely pull over, which it will do when it can find a safe and open location. At this point, you can either continue your trip or get out of the Robotaxi.
Both options prompt you with an “Are You Sure?” button before letting you continue, which means you won’t have your Robotaxi ride come to an abrupt stop if you tap the ‘Pull Over’ button by accident.
What This Means for Tesla Owners
These features are likely to be included in future FSD builds. This is essentially the new benchmark by which to judge FSD, at least once it begins rolling out to customer vehicles.
Many of the core driving improvements, such as the more confident maneuvering and emergency vehicle response, will make their way to the wider fleet in upcoming FSD updates.
Remember - Robotaxi isn’t just a service, it is also a preview of Tesla’s driverless FSD builds.
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