Will Tesla's Unsupervised FSD Require a Front Bumper Camera? [Opinion]

By Karan Singh
Not a Tesla App

With Unsupervised FSD just around the corner—at least in select U.S. states—and Tesla’s Robotaxi set to launch in Austin this June, what will the real requirements be for Unsupervised FSD?

Tesla’s latest vehicles, including the Cybertruck, Cybercab, and the refreshed Model Y, now feature a front bumper camera. However, as of FSD v13.2.8, the Cybertruck’s bumper camera remains unused for FSD and primarily serves as a helpful tool for parking and off-road driving.

With bumper cameras becoming more common across Tesla’s lineup, the question remains: will they eventually become a necessary component for Unsupervised FSD, or are they simply an added convenience for now?

Actually Smart Summon Needs Bumper Vision

Not a Tesla App

Every Tesla model that has the ability to use Actually Smart Summon occasionally rolls slightly forward or backward before exiting a parking stall. This movement helps the vehicle get a better view of what’s directly beneath the front lip of the hood before proceeding.

However, this behavior has led some vehicles to make contact with walls or posts, prompting the NHTSA to launch an investigation into Actually Smart Summon. The simple solution is to mount a lower front camera that allows the vehicle to see what’s directly in front of it when it wakes up.

The Cybertruck currently lacks access to Actually Smart Summon—or any Summon functionality, for that matter. Tesla hasn’t announced when the vehicle will receive one of its most advanced autonomy features. Given the vehicle’s height and its larger front blind spot, the delay likely stems from the need to integrate the bumper camera for improved visibility.

At the end of the day, Actually Smart Summon is essential for Unsupervised FSD. A fully autonomous vehicle must be capable of navigating crowded parking lots, reaching pickup points, and parking itself without human intervention.

Training Data and Cameras

We already know that adding a new vehicle to FSD can take months—but what about integrating training data from an entirely new camera and perspective? That process could take even longer, especially with a vehicle like the Cybertruck, which is larger and wider than Tesla’s other models.

We also know that the Cybercab—set to launch in Austin in just a few months—features a bumper camera to improve visibility below the front lip. Tesla doesn’t add new components without purpose; every part, from the camera and wiring to the housing and engineering, represents a calculated investment.

Given this, it’s reasonable to expect that Tesla is already using bumper camera data from the Cybertruck—and soon, the refreshed Model Y—to train an updated FSD model. Whether this model is focused on parking lot navigation and Actually Smart Summon or expands to broader FSD improvements on city streets and highways remains to be seen.

Compute and AI5

Tesla has already stated that the AI4 computer has unused compute power, but they’re running into memory limitations in future FSD builds due to the sheer volume of incoming data. That said, Tesla has hinted at optimizations to better manage memory on AI4.

Would integrating data from an additional camera overwhelm the system? Probably not in terms of compute, but memory efficiency remains a key area for improvement—especially as Tesla plans to triple both the model size and context window in upcoming FSD versions.

On the other hand, the Cybercab is set to launch with its own unique, more powerful AI5 computer. At the We, Robot autonomy event in October, Elon Musk confirmed that AI5 was designed for redundancy and higher safety. Tesla has been working on parallelizing FSD computations for some time—but we’ll explore that in a separate article.

Wrapping it Together

Putting it all together: the bumper camera has arrived, and Tesla doesn’t add hardware without a purpose. While it’s not yet in use for FSD, Tesla is likely gathering footage to train future models. The AI4 computer has the compute power to handle an additional data stream—but will Tesla actually integrate it?

If we were to go out on a limb, we’d say that Unsupervised FSD will likely require a bumper camera to be part of the Robotaxi network, but there’s another compelling reason. Tesla currently offers Supervised FSD for subscription and sale - but you can no longer buy FSD the way it used to be marketed. That changed back in September 2024, when they made adjustments to all their websites globally to list Supervised FSD as the product and feature that was being sold. That could have an impact on Tesla’s future plans with how they offer Unsupervised vs Supervised FSD.

So, will a bumper camera be necessary? We think so. Will it be a retrofit? Possibly. Tesla has already confirmed that they will retrofit HW3 vehicles with improved hardware in the future, meaning that other FSD hardware upgrades aren’t completely off the table.

However, retrofitting a bumper camera is complex, requiring extensive disassembly, wiring through the frunk, firewall, and into the AI computer. It’s possible that the camera will primarily be used for low-speed parking lot maneuvers—where supervision will be required—while Unsupervised FSD will only be available while driving on city streets and highways. The largest issue is simply what happens if the vehicle was asleep, and it can now only leave by driving forward — where it has a large blind spot.

While the exact role of the front bumper camera remains uncertain, its presence in newer models suggests it could be critical for a. fully autonomous vehicle. Whether it becomes a requirement for the vehicle to start driving from a parked position without anyone inside the vehicle, or whether it’ll only be required in parking lots or even to become a part of the Robotaxi network remains to be seen.

Tesla Introduces ‘Pay Later’ Option for Tesla Service Invoices in North America

By Karan Singh
@TESLA_winston

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.

Tesla app update 4.46 also added improvements to Tesla Assist, Wall Connector details, Tesla Energy ownership changes, and added visualizations for the updated Model S and Model X.

How It Works

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.

Tesla Robotaxi: A Breakdown of Its New FSD Abilities

By Karan Singh
Not a Tesla App

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.

This is a feature that Tesla previously mentioned would arrive as part of future updates to FSD V13, so expect it in future customer builds as well.

Automated Camera Cleaning

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.

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.

Human Support

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.

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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