Tesla Holiday Update Wishlist - Maps & Autopilot Edition

By Karan Singh
Not a Tesla App

We’re eagerly anticipating Tesla’s biggest update of the year — the Holiday update. The update usually arrives in December, typically towards the end of the month. Last year, the rollout was actually earlier, happening in the second week of December.

As part of our ongoing series, we’re sharing our wishlist for features we hope to see in this year’s holiday update. This edition focuses on improvements to Tesla Maps and Autopilot.

Altitude

Tesla has been adding more weather information and other improvements to their maps. Some users would love to see the vehicle’s current altitude displayed on the touchscreen’s status bar at the top. This data can be derived from map data or a barometric sensor and could be a nice addition.

Fleet Support for Road Information

Every Tesla vehicle captures a tremendous amount of information and analyzes and categorizes almost all of it. We would be remiss not to wish for fleet-based support for road information, especially since one of the goals for FSD V12.5 was vehicle-to-fleet communication.

User-contributed Map Data

Many users have asked for the integration of more Waze-like features into Tesla’s navigation. Earlier this year, Tesla added Speed Camera locations, traffic lights and stop signs to maps, but users really want it to be a Waze-like experience that lets you contribute data. This includes marking police car locations, accidents, construction, and more. We’re not sure how likely this is to happen. So far, Tesla has relied on the Google API and other vendors to highlight information on the map.

Avoid Highways Option

Users have been asking for an ‘Avoid Highways’ option forever, as it’s a standard option in navigation systems nowadays. While the Alternate Routes feature is helpful, it may not always provide a route that avoids the highway.

In June, Elon Musk confirmed that a “Avoid Highways” option would be added to Tesla navigation. We still haven’t seen it arrive, but we’re fairly confident that it will eventually be available in Tesla vehicles, maybe even for the Holiday update. What better way to enjoy a winter wonderland than to drive through some country roads instead of on the highway?

3D Buildings in Maps

Not a Tesla App

3D maps arrived in China earlier this year, and Google began rolling out 3D maps for various apps just last month. Apple already provides a 3D map with beautiful renderings of nearby buildings, and Rivian already features 3D buildings with an Apple-like look, so Tesla is playing catch-up a little bit here.

While 3D map support could be viewed as mostly eye candy, it can sometimes be useful when navigating an unknown area. Since the Intel infotainment processor is already near its limit and has excluded features in the past, such as improved visualizations and High Fidelity Park Assist, this feature could be limited to newer AMD-powered vehicles.

At Tesla’s recent Robotaxi event, we saw custom 3D maps in the vehicle with a specialized interface, so Tesla knows this is an appealing addition.

Full-Screen Visualizations on Intel

BLKMDL3

This year Tesla added support for full screen Autopilot visualizations on AMD-based vehicles. Unfortunately the option to go full screen isn’t available on Intel vehicles, unless you’re in North America and have FSD.

There isn’t a clear reason why this is the case, since Intel vehicles can obviously handle them. It’d be nice if this holiday season Tesla expanded  full-screen visualizations to all Intel vehicles, regardless of location.

Detect and Visualize Emergency Vehicles

Greentheonly/X

Tesla already detects emergency vehicles while on Autopilot, however, it doesn’t display them in the visualization any differently than a normal car. Tesla was planning on adding emergency vehicle visualizations as far back as 2021, but they didn’t happen for some reason.

Tesla recently announced that they’re going to step up emergency vehicle detection by not only detecting the vehicles visually but also using audio input as a cue. With FSD v13, which is expected to be released to Tesla employees this month, FSD will detect emergency vehicles using the vehicle’s internal microphone. This should let the vehicle know about emergency vehicles sooner. We’re hoping that on-screen visualization comes along with this update.

If it’s anything like Tesla’s 2021 implementation, Tesla will design emergency lights that could be added to various existing 3D models, such as cars, SUVs, and motorcycles.

FSD Visualizations in Other Regions

This one is long overdue, and we hope it finally arrives. Owners outside of North America have been paying for FSD for years and have almost nothing to show for it. Sure, it includes some features like Summon (with USS vehicles) and, more recently, Autopark, but it doesn’t even include Actually Smart Summon yet.

While Tesla says the FSD is coming to Europe and China in Q1/Q2 next year, it’d be a great addition to add FSD visualizations for the time being.

There’s no doubt that Tesla is already detecting objects and vehicles behind the scenes and comparing what the vehicle would do to what the driver does to help improve Autopilot in these markets. For some reason, Tesla has decided to show different visualizations depending on whether you have Autopilot or FSD and whether you live in North America or elsewhere.

Adding FSD visualizations for everyone, regardless of whether they have Basic Autopilot, EAP, or FSD, would be an exciting addition — and it may even increase the subscription rate to FSD.

FSD Tow Mode Support

Today, using Tow Mode in the Cybertruck, Model X, Model S, or Model Y will completely disable FSD and Autopilot. Tesla has been testing FSD on the Tesla Semi, so we hope to see Tow Mode get support for either Autopilot or FSD. It would make long trips with a trailer much better on highways!

Expand Basic Autopilot

Tesla’s Basic Autopilot includes Adaptive Cruise Control and Autosteer, but we’d love for Tesla to expand this further to match what other manufacturers are offering.

Right now, Tesla considers Navigate on Autopilot and automatic lane changes part of Enhanced Autopilot. This means that if you’re on Autopilot and want to change lanes, you need to disable AP, change lanes, and re-enable it. Since many regions no longer offer Enhanced Autopilot for purchase, users are forced to put up with this annoyance or pay for FSD, which isn’t offered as a subscription outside of North America.

By creating a clearer distinction between Autopilot (focused on highway driving) and FSD (designed for city driving), Tesla could improve the Autopilot experience for users while encouraging them to upgrade to FSD.

Actually Smart Summon

Actually Smart Summon is still mostly limited to North America, with some small regions such as Taiwan, also receiving it. However, it still requires you to hold the ‘come’ button currently. The next big leap would be to remove this requirement and enable users to summon their vehicles with a single tap. Tesla previously said this was coming in a future improvement to A.S.S.

Ideally, we’d see the reach of Actually Smart Summon expanded to Europe and other regions and improvements of the feature, although we’re much more likely to see the former for the Christmas update.

Cybertruck is also still waiting for Summon, so this could be an additional surprise.

Autoshift for All Cars

While Autoshift isn’t directly tied to Autopilot, it does leverage AI to decide whether to shift into reverse or drive. This feature has now been released on the new Model S, Model X, the new Model 3, and the Cybertruck. However, Musk once said that it would be added to all Tesla vehicles, so we’re hoping that’s still in the works.

There’s certainly no reason why Tesla can’t add it to older vehicles with stalks. For those not familiar with Autoshift, it allows the vehicle to automatically shift into reverse or drive when the driver is ready to start moving. This makes it even easier to get going: You simply get in the car, press the brake pedal, giving the vehicle a chance to shift, and then press the accelerator.

While this is a list of the most popular user requests related to Tesla’s navigation and Autopilot features, we’re sure that there are some we missed. Let us know your thoughts and ideas in our forums.

Be sure to check out our other wishlists:

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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