Tesla's New 'Tap to Park' Autopark Feature [Updated With Video]

By Not a Tesla App Staff
Tesla is launching its improved Autopark feature
Tesla is launching its improved Autopark feature
Not a Tesla App

Tesla has released the much-anticipated new Autopark feature that is expected to be based on the new neural networks that power FSD Beta v12.

Teslas have had Autopark capability for several years, although it has several shortcomings, besides not being available to any recent vehicles that do not include ultrasonic sensors (USS).

This refined version of Autopark is available as part of update 2024.2.11, although the update appears to be limited to employees at this time.

This new iteration of Autopark is expected to be a big improvement over the previous version. According to Musk, it contains “major improvements” over the previous version.

Video

Update: The first video of the new Autopark feature is now available thanks to X user Space Cat, who drives a Model Y with Enhanced Autopilot and without ultrasonic sensors. In the video below you can see the new parking visuals and how easily the vehicle detects parking spots, something the current Autopark feature struggles with.

The driver can pick from any of the highlighted spots. It’s impressive how the vehicle shifts to drive or reverse depending on what’s needed. This appears to be similar behavior to what we’ll see in FSD, according to Tesla’s Autopilot director.

Tesla made the process to initial Autopark easy with this release. The vehicle automatically displays available parking spots and defaults to one nearby. All the driver has to do is stop the vehicle and tap ‘Start’ on the screen to start Autopark. There’s no need to tap a button to have the vehicle detect parking spots or even to select a particular spot, unless you have a preference.

Tap a Parking Spot and Exit the Vehicle?

Musk has been talking about the new ‘Tap to Park’ feature for several months. In December 2023, Musk said "We are working on a feature where the car identifies probable viable parking spaces. You tap on one, exit the vehicle and it parks there."

The release notes in this version don't mention the ability to exit the vehicle before the vehicle starts parking, although it sounds like that's Tesla's goal for this feature. This first iteration could be Tesla's MVP (Minimal Viable Product) that they'd like to ship and they'll slowly add on features as the feature is refined.

There are several hints beyond Musk's comment that Tesla will eventually support tapping a parking spot on the screen and allow the driver to exit the vehicle while the car parks itself.

A look under the hood at Tesla's recent app update showed that Tesla is building Autopark features into the app, hinting that you may even be able to initiate Autopark directly from your phone in the future.

This is very similar to what you can already do with Summon on vehicles with USS. From your device, you can wake up the vehicle and have it drive a short distance to you. It's not far-fetched to think that Tesla has sights on being able to do this in reverse.

Available to Vehicles Without USS

Tesla has been delivering vehicles without USS, Autopark, and Smart Summon for over a year now. This updated feature is expected to have improved vision to make up for the lack of USS. A similar situation occurred with Park Assist, where vehicles without USS could no longer show distances to objects when parking.

Tesla then introduced High-Fidelity Park Assist in the holiday update and surprised everyone with what they were able to accomplish. Instead of just displaying distances to objects, Tesla created 3D models of surrounding objects and colored them based on the vehicle's proximity.

High-Fidelity Park Assist is still limited to vehicles without USS, but we know Tesla is working on adding the feature to vehicles that include ultrasonic sensors as well. It's not clear whether the new Autopark may also only be rolled out to vehicles without USS, or if it'll be available to all vehicles at the same time.

Autopark is part of Tesla’s Enhance Autopilot (EAP) suite, so only users with EAP or FSD are expected to receive the feature when it rolls out.

Improved Visuals and Selection

The image Tesla released shows an improvement in Autopark visuals. The current iteration of Autopark only shows one parking spot at once, and it's difficult to even have that come up on the screen.

This new version appears to be a drastic improvement, not only outlining a parking spot on the display but also displaying various parking spots at once - including parallel spaces.

According to the release notes, the parking spots will appear any time you're driving slowly through a parking lot, although the exact speed isn't specified.

Improved Autopark

Musk previously talked about a vast improvement in the new Autopark, which he called Tap to Park. This new Autopark is expected to be based on the same neural networks that power FSD Beta v12, which has been a drastic improvement over FSD Beta v11.4.9. We should see a much improved Autopark experience when this feature becomes available to Tesla owners.

Although the previous version of Autopark worked, it was difficult to have it detect a parking spot and display it on the screen. It often also parked very slowly, making it less almost useless if there were other vehicles around. However, the result was usually quite good, with the vehicle parking safely and well between the parking lines. We expect the two shortcomings of the current Autopark to be drastically improved in this latest revision.

Public Roll Out / Release Date

Just a few days ago, Musk revealed that Tesla would release a new version of Summon (Actually Smart Summon) and a new Autopark feature with "major improvements" next month (April).

It's surprising to see this feature added to update 2024.2.11 when Tesla is already rolling out 2024.8.4. This leads us to believe that this update may be currently in a testing phase with employees and is not yet ready to go to a public release.

When Tesla is ready to ship this feature to owners, we'll likely see it introduced in a revision to 2024.8, or even the next major update, which could be 2024.12.

Either way, it looks like we'll be getting it fairly soon, and if the new Autopark has anywhere near the improvements in Tesla's FSD Beta v12.3, then we're in for a real treat.

Tesla Plans Massive 10x Robotaxi Expansion: A Look at the Potential New Area

By Karan Singh
Not a Tesla App

With Tesla’s first major expansion of the Robotaxi Geofence now complete and operational, they’ve been hard at work with validation in new locations - and some are quite the drive from the current Austin Geofence.

Validation fleet vehicles have been spotted operating in a wider perimeter around the city, from rural roads in the west end to the more complex area closer to the airport. Tesla mentioned during their earnings call that the Robotaxi has already completed 7,000 miles in Austin, and it will expand its area of operation to roughly 10 times what it is now. This lines up with the validation vehicles we’ve been tracking around Austin.

Based on the spread of the new sightings, the potential next geofence could cover a staggering 450 square miles - a tenfold increase from the current service area of roughly 42 square miles. You can check this out in our map below with the sightings we’re tracking.

If Tesla decides to expand into these new areas, it would represent a tenfold increase over their current geofence, matching Tesla’s statement. The new area would cover approximately 10% of the 4,500-square-mile Austin metropolitan area. If Tesla can offer Robotaxi services in that entire area, it would prove they can tackle just about any city in the United States.

From Urban Core to Rural Roads

The locations of the validation vehicles show a clear intent to move beyond the initial urban and suburban core and prepare the Robotaxi service for a much wider range of uses.

In the west, validation fleet vehicles have been spotted as far as Marble Falls - a much more rural environment that features different road types, higher speed limits, and potentially different challenges. 

In the south, Tesla has been expanding towards Kyle, which is part of the growing Austin-San Antonio suburban corridor spanning Highway 35. San Antonio is only 80 miles (roughly a 90-minute drive) away, and could easily become part of the existing Robotaxi area if Tesla obtains regulatory approval there.

In the East, we haven’t spotted any new validation vehicles. This is likely because Tesla’s validation vehicles originate from Giga Texas, which is located East of Austin. We won’t really know if Tesla is expanding in this direction until they start pushing past Giga Texas and toward Houston.

Finally, there have been some validation vehicles spotted just North of the new expanded boundaries, meaning that Tesla isn’t done in that direction either. This direction consists of the largest suburban areas of Austin, which have so far not been serviced by any form of autonomous vehicle.

Rapid Scaling

This new, widespread validation effort confirms what we already know. Tesla is pushing for an intensive period of public data gathering and system testing in a new area, right before conducting geofence expansions. The sheer scale of this new validation zone tells us that Tesla isn’t taking this slowly - the next step is going to be a great leap instead, and they essentially confirmed this during this Q&A session on the recent call. The goal is clearly to bring the entire Austin Metropolitan area into the Robotaxi Network.

While the previous expansion showed off just how Tesla can scale the network, this new phase of validation testing is a demonstration of just how fast they can validate and expand their network. The move to validate across rural, suburban, and urban areas simultaneously shows their confidence in these new Robotaxi FSD builds.

Eventually, all these improvements from Robotaxi will make their way to customer FSD builds sometime in Q3 2025, so there is a lot to look forward to.

Caught on Video: Tesla FSD Tackles a Toll Booth — Here’s How It Pulled It Off

By Karan Singh
@DirtyTesLa on X

For years, the progress of Tesla’s FSD has been measured by smoother turns, better lane centering, and more confident unprotected left turns. But as the system matures, a new, more subtle form of intelligence is emerging - one that shifts its attention to the human nuances of navigating roads. A new video posted to X shows the most recent FSD build, V13.2.9, demonstrating this in a remarkable real-world scenario.

Toll Booth Magic

In the video, a Model Y running FSD pulls up to a toll booth and smoothly comes to a stop, allowing the driver to handle payment. The car waits patiently as the driver interacts with the attendant. Then, at the precise moment the toll booth operator finishes the transaction and says “Have a great day”, the vehicle starts moving, proceeding through the booth - all without any input from the driver.

If you notice, there’s no gate here at this toll booth. This interaction all happened naturally with FSD.

How It Really Works

While the timing was perfect, the FSD wasn’t listening to the conversation for clues (maybe one day, with Grok?) The reality, as explained by Ashok Elluswamy, Tesla’s VP of AI, is even more impressive.

FSD is simply using the cameras on the side of the vehicle to watch the exchange between the driver and attendant. The neural network has been trained on enough data that it can visually recognize the conclusion of a transaction - the exchange of money or a card and the hands pulling away - and understands that this is the trigger to proceed.

The Bigger Picture

This capability is far more significant than just a simple party trick. FSD is gaining the ability to perceive and navigate a world built for humans in the most human-like fashion possible.

If FSD can learn what a completed toll transaction looks like, it’s an example of the countless other complex scenarios it’ll be able to handle in the future. This same visual understanding could be applied to navigating a fast-food drive-thru, interacting with a parking garage attendant, passing through a security checkpoint, or boarding a ferry or vehicle train — all things we thought that would come much later.

These human-focused interactions will eventually become even more useful, as FSD becomes ever more confident in responding to humans on the road, like when a police officer tells a vehicle to go a certain direction, or a construction worker flags you through a site. These are real-world events that happen every day, and it isn’t surprising to see FSD picking up on the subtleties and nuances of human interaction.

This isn’t a pre-programmed feature for a specific toll booth. It is an emergent capability of the end-to-end AI neural nets. By learning from millions of videos across billions of miles, FSD is beginning to build a true contextual understanding of the world. The best part - with a 10x context increase on its way, this understanding will grow rapidly and become far more powerful.

These small, subtle moments of intelligence are the necessary steps to a truly robust autonomous system that can handle the messy, unpredictable nature of human society.

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