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Spy shots suggest Tesla was testing its automatic emergency braking system at a naval base
Newly found video appears to show Tesla testing or calibrating their automatic emergency braking system prior to the official release of the refreshed Model S. With several recent stories involving alleged failures of the system, the video of the test session is of particular interest.
The video appears to have been shot while Tesla engineers were evaluating automatic braking systems on a runway at the Naval Air Station in Alameda, California. Tesla has long used the facility for testing as it is a mere 30 mile jaunt from the Fremont factory (you may recall the first sighting of the Model X test mule was also on a runway at Alameda).
https://youtu.be/-r4hJ8-hJDg
Despite the video’s misleading title promising a Model 3, the video actually shows two Tesla Model S test cars accompanied by a full-sized pick-up truck that has a soft target on a long arm. The target is typical of tests involving vehicle collision detection and crash mitigation systems. Inflatable tubes and foam panel bodies are mounted on a metal frame and then covered in vinyl. Any potential system failure during testing that leads to impact will result in minimal damage to the test vehicle.
The vast acreage of the runway is ideal for this sort of test and the Tesla engineers are able to do multiple attempts on each pass. Below is a Google Maps satellite view showing runway 25 at the Naval Air Station in Alameda, Calif., site where the tests took place.
Though posted to YouTube on March 31st, the red car in the video is clearly equipped with the recently introduced rear valance and painted rocker panels. The headlights also appear to have the more even pattern of the new daytime runnings lights, though the black nose suggests either the front fascia was not new or is marked to mimic the legacy bumper.
Tesla Model S with painted rear valence rockers
Tesla didn’t officially reveal the refreshed Model S until April 12th, meaning this prototype was captured nearly 2 weeks earlier. The proximity of the test to the release might suggest that last minute calibrations were being verified or that software was being adjusted to maximize the system’s effectiveness with the new sensors’ placement, especially those that were moved behind the fascia itself.
The darker colored car appears to be an older P85. It isn’t captured on the uploaded video doing any of the tests itself. HOV lane stickers on the rear fascia and the older non-LED headlights are clearly visible, reinforcing the likelihood that it was not a subject in this test session.
The Model S’ driver appears only to be observing the movements of the red test car, following it along the runway. At one point, the driver of the pick-up truck with the test rig stops to confer with the person in the darker Model S– even nodding in the direction of the helicopter shooting the video– before resuming test runs.
While automatic emergency braking is part of Tesla’s Autopilot suite of features, it alone isn’t unique. Twenty automakers representing the entirety of the US market have already agreed to make automatic emergency braking systems standard in all new cars and light trucks by the 2022 model year. The agreement was jointly announced in mid-March (about two weeks before this video was posted) by federal regulators with the National Highway Traffic Safety Administration and the Insurance Institute for Highway Safety. The IIHS estimates vehicles with the systems are 40% less likely to cause a rear-end crash.
Tesla has expanded its branded ‘For Business’ Supercharger program that it launched last year, as yet another company is using the platform to attract EV owners to its business and utilize a unique advertising opportunity.
Francis Energy of Oklahoma is launching four Superchargers in Norman, where the University of Oklahoma is located. The Superchargers, which are fitted with branding for Francis Energy, will officially open tomorrow.
It will not be the final Supercharger location that Francis Energy plans to open, the company confirmed to EVWire.
Back in early September, Tesla launched the new “Supercharger for Business” program in an effort to give businesses the ability to offer EV charging at custom rates. It would give their businesses visibility and would also cater to employees or customers.
“Purchase and install Superchargers at your business,” Tesla wrote on a page on its website for the new program. “Superchargers are compatible with all electric vehicles, bringing EV drivers to your business by offering convenient, reliable charging.”
The first site opened in Land O’ Lakes, Florida, which is Northeast of Tampa, as a company called Suncoast launched the Superchargers for local EV owners.
Tesla launches its new branded Supercharger for Business with first active station
The program also does a great job at expanding infrastructure for EV owners, which is something that needs to be done to encourage more people to purchase Teslas and other electric cars.
Francis Energy operates at least 14 EV charging locations in Oklahoma, spanning from Durant to Oklahoma City and nearly everywhere in between. Filings from the company, listed by Supercharge.info, show the company’s plans to convert some of them to Tesla Superchargers, potentially utilizing the new Supercharger for Business program to advertise.
Moving forward, more companies will likely utilize Tesla’s Supercharger for Business program as it presents major advantages in a variety of ways, especially with advertising and creating a place for EV drivers to gain range in their cars.
Tesla Cybercab is perhaps the most highly-anticipated project that the company plans to roll out this year, and as it is undergoing its testing phase in pre-production currently, there are some things to work through with it.
Over the weekend, an image of the Cybercab being loaded onto a tow truck started circulating on the internet, and people began to speculate as to what the issue could be.
Hmmmmmm… https://t.co/L5hWcOXQkb pic.twitter.com/OJBDyHNTMj
— TESLARATI (@Teslarati) January 11, 2026
The Cybercab can clearly be seen with a Police Officer and perhaps the tow truck driver by its side, being loaded onto, or even potentially unloaded from, the truck.
However, it seems unlikely it was being offloaded, as its operation would get it to this point for testing to begin with.
It appears, at first glance, that it needs assistance getting back to wherever it came from; likely Gigafactory Texas or potentially a Bay Area facility.
The Cybercab was also spotted in Buffalo, New York, last week, potentially undergoing cold-weather testing, but it doesn’t appear that’s where this incident took place.
It is important to remember that the Cybercab is currently undergoing some rigorous testing scenarios, which include range tests and routine public road operation. These things help Tesla assess any potential issue the vehicle could run into after it starts routine production and heads to customers, or for the Robotaxi platform operation.
This is not a one-off issue, either. Tesla had some instances with the Semi where it was seen broken down on the side of a highway three years ago. The all-electric Semi has gone on to be successful in its early pilot program, as companies like Frito-Lay and PepsiCo. have had very positive remarks.
The Cybercab’s future is bright, and it is important to note that no vehicle model has ever gone its full life without a breakdown. It happens, it’s a car.
Nevertheless, it is important to note that there has been no official word on what happened with this particular Cybercab unit, but it is crucial to remember that this is the pre-production testing phase, and these things are more constructive than anything.
Tesla analyst Andrew Percoco of Morgan Stanley teased the company’s dominance in its self-driving initiative, stating that its lead over competitors is “not even close.”
Percoco recently overtook coverage of Tesla stock from Adam Jonas, who had covered the company at Morgan Stanley for years. Percoco is handling Tesla now that Jonas is covering embodied AI stocks and no longer automotive.
His first move after grabbing coverage was to adjust the price target from $410 to $425, as well as the rating from ‘Overweight’ to ‘Equal Weight.’
Percoco’s new note regarding Tesla highlights the company’s extensive lead in self-driving and autonomy projects, something that it has plenty of competition in, but has established its prowess over the past few years.
He writes:
“It’s not even close. Tesla continues to lead in autonomous driving, even as Nvidia rolls out new technology aimed at helping other automakers build driverless systems.”
Percoco’s main point regarding Tesla’s advantage is the company’s ability to collect large amounts of training data through its massive fleet, as millions of cars are driving throughout the world and gathering millions of miles of vehicle behavior on the road.
This is the main point that Percoco makes regarding Tesla’s lead in the entire autonomy sector: data is King, and Tesla has the most of it.
One big story that has hit the news over the past week is that of NVIDIA and its own self-driving suite, called Alpamayo. NVIDIA launched this open-source AI program last week, but it differs from Tesla’s in a significant fashion, especially from a hardware perspective, as it plans to use a combination of LiDAR, Radar, and Vision (Cameras) to operate.
Percoco said that NVIDIA’s announcement does not impact Morgan Stanley’s long-term opinions on Tesla and its strength or prowess in self-driving.
NVIDIA CEO Jensen Huang commends Tesla’s Elon Musk for early belief
And, for what it’s worth, NVIDIA CEO Jensen Huang even said some remarkable things about Tesla following the launch of Alpamayo:
“I think the Tesla stack is the most advanced autonomous vehicle stack in the world. I’m fairly certain they were already using end-to-end AI. Whether their AI did reasoning or not is somewhat secondary to that first part.”
Percoco reiterated both the $425 price target and the ‘Equal Weight’ rating on Tesla shares.
Tesla expands its branded ‘For Business’ Superchargers
Tesla Cybercab ‘breakdown’ image likely is not what it seems
