Tesla's Camp Mode allows you to maintain USB ports powered and keep the climate running
Teslarati
Say you’re cruising down a deserted highway in your Tesla and you’re starting to get sleepy, or you’re taking a road trip through a national park and the nearest hotel is too far away… so you pull out your mattress from your trunk, fold your backseats down and get ready to spend the night in the comfort of your car. The next thing you do is turn on Camp Mode.
When your Tesla is in Camp Mode it will maintain the optimum temperature and airflow inside the cabin (which you can adjust to your convenience). Your lighting setup will also be maintained, and even the music if you want to listen to some chill tunes while you relax inside your car.
Camp also keeps your low voltage outlet and USB ports powered so that you can charge or use your electronic devices.
The touchscreen also remains on so you can play music, browse the internet, play games in the arcade, or watch shows in Tesla Theater (requires Premium Connectivity or Wi-Fi).
Sentry Mode and Alarm
While Camp Mode is active, Sentry Mode and the vehicle alarm system are disabled, as well as auto lock (so you don’t have to constantly lock and unlock the car as you come and go). Because of this it might be a good idea to manually lock the car when you go to sleep.
How to Turn Camp Mode On
To enable camp mode, set your car to park, tap the temperature icon at the bottom of the screen and then tap on ‘Camp’.
You can also enable it using the Tesla app. Tap the Climate section, slide up the bottom drawer and select the ‘Camp’ option.
Turning Camp Mode Off
To turn Camp Mode off simply shift the vehicle out of Park or disable the mode either via your smartphone or by tapping on the temperature icon at the bottom of your screen and selecting a different mode.
Some drivers recommend creating a Camp driver profile, which automatically sets your preferences for when you're ready to crash for the night. Make any necessary modifications, such as moving the seats all the way forward, and then select your chosen temperature.
How Much Power does it Drain?
In an eight-hour period, the typical battery consumption of Camp Mode is roughly 10% of the charge. The battery will be consumed more quickly if it is really cold or there is bad weather, simply because the car will have to work harder to maintain the interior temperature you've selected.
Even at low temperatures for an eight-hour period, you're looking at a 15 percent usage rate.
Tesla’s vehicles equipped with heat pumps like Tesla Model Y or the 2021 Model 3 should be slightly more efficient while in Camp Mode.
The power drain of Camp Mode, however, is not an exact science, and it will vary greatly depending on many factors such as outside temperature and in-cabin settings - don’t risk depleting your battery.
If you’re staying at an RV park it is good to remember that many of them offer an option to charge your electric vehicle, which would be the ideal condition to run Camp Mode in.
What Happens if the Battery Gets too Low?
You cannot use Camp Mode if the battery percentage goes below 20%, in order to save the battery from depletion and allow you to reach the nearest charging station.
Which Models have Camp Mode?
All current and past Tesla vehicles have Camp Mode as a standard feature. It is also not required to have access to Tesla's Premium Connectivity in order to receive notifications regarding Camp Mode, or to enable it from your smartphone.
The map above compares Tesla's current geofence with their potential expansion in yellow.
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.
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.
In the map below, the blue icons are sightings of Tesla validation vehicles, while the yellow map area represents their potential expansion. The map overlays Tesla’s phases 1 and 2 and compares them to Waymo’s first two phases. You can toggle each one by tapping the icon at the top left and choosing which geofences you’d like to view.
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.
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.
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.
It can see the transaction happening using the repeater & pillar cameras. Hence FSD proceeds on its own when the transaction is complete 😎
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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