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Tesla asked by NHTSA to furnish Autopilot data logs [Updated]
The National Highway Transportation Safety Administration has sent Tesla Motors a 9 page letter asking for specifics about any modifications to the Autopilot system including software changes that Tesla has made since Autopilot was first rolled out in the fall of 2015.
Updated: We received a copy of the 9-page letter sent by the NHTSA to Tesla outlining details on the type of information Tesla must hand over.
At issue is how the system detects and reacts to cross traffic. The probe is related specifically to the crash that killed Joshua Brown on a Florida highway on May 7. His car was operating on Autopilot when it struck the side of a tractor trailer that was crossing the road in front of it. Tesla says the cameras on Brown’s Model S failed to distinguish the white side of the tractor trailer from a brightly lit sky. As a result, the car did not brake automatically.
According to ABC News, the letter is asking for information about how Autopilot reacts when proceeding through intersections where there is cross traffic. Its request also asks the company to describe how the system determines if the input from cameras and other sensors is “compromised or degraded” in any way, and how the problems are communicated to the driver.
Lastly, the NHTSA has given Tesla an August 26 deadline to turnover details of all known crashes, consumer complaints, and lawsuits filed or settled because the Autopilot system didn’t brake as expected. Agency spokesperson Bryan Thomas says the information requested is a routine part of an investigation and the agency has not yet determined whether Autopilot constitutes a safety risk.
Elon Musk told the Wall Street Journal on Tuesday that Tesla has no plans to disable its Autopilot feature in the wake of the fatal crash in Florida. Musk responded by saying that the company is planning an explanatory blog post to educate customers on how Autopilot works. “A lot of people don’t understand what it is and how you turn it on,” he said. Musk is a fierce supporter of the Autopilot system and claims it has already proven to be safer than a human driver.
All of this comes as more details are emerging about a crash in Montana involving a Model X that reportedly veered off a country road. The driver told the Montana state police he had initiated Autopilot, but Tesla says the vehicle log shows only auto steer was activated. The car’s computer detected no force on the steering wheel for more than two minutes. If there’s no force on the wheel or a sharp turn is detected, the vehicle is programmed to gradually reduce speed, stop, and turn on the emergency lights, Tesla said in a statement.
The company said the Model X alerted the driver to put his hands on the wheel, but he didn’t do it. “As road conditions became increasingly uncertain, the vehicle again alerted the driver to put his hands on the wheel. He did not do so and shortly thereafter the vehicle collided with a post on the edge of the roadway,” the statement said. It isn’t clear whether the Model X had made a decision to stop at the time of the crash.
The car traveled around a right hand curve, then went off the road. It traveled about 200 feet on the narrow shoulder, taking out 13 posts, said trooper Jade Shope. No citation was issued to the drivers because the trooper believed any citation would be void if the car was operating on Autopilot as claimed by the driver. That is a fairly curious position for a law enforcement officer to take, since there is no way for authorities to determine at the scene of an accident whether Autopilot actually was or was not activated.
The National Transportation Safety Board has also opened an investigation of the Florida crash. It is entirely possible that some new regulations regarding autonomous driving systems in general will result from the combined NHTSA/NTSB review.
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Tesla FSD (Supervised) is about to go on “widespread” release
In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”
Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin.
The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.
FSD V14.2 improvements
FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.
A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.
Elon Musk’s predicted wide release
The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”
FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles.
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Tesla FSD V14.2 starts rolling out to initial batch of vehicles
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Tesla has begun pushing Full Self-Driving (Supervised) v14.2 to its initial batch of vehicles. The update was initially observed by Tesla owners and veteran FSD users on social media platform X on Friday.
So far, reports of the update have been shared by Model Y owners in California whose vehicles are equipped with the company’s AI4 hardware, though it would not be surprising if more Tesla owners across the country receive the update as well.
Based on the release notes of the update, key improvements in FSD V14.2 include a revamped neural network for better detection of emergency vehicles, obstacles, and human gestures, as well as options to select arrival spots.
It would likely only be a matter of time before FSD V14.2 videos are posted and shared on social media.
Following are the release notes of FSD (Supervised) V14.2, as shared on X by longtime FSD tester Whole Mars Catalog.
Release Notes
2025.38.9.5
Currently Installed
FSD (Supervised) v14.2
Full Self-Driving (Supervised) v14.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances.
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios including: unprotected turns, lane changes, vehicle cut-ins, and school busses.
- Improved FSD’s ability to manage system faults and improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
Upcoming Improvements:
- Overall smoothness and sentience
- Parking spot selection and parking quality
The Tesla Model X has always been one of the company’s most loved vehicles, despite its low sales figures, which can be attributed to its high price tag.
However, the Model X has been a signature item on Tesla’s menu of cars, most notably recognized by its Falcon Wing Doors, which are aware of its surroundings and open according to what’s around it.
But recent improvements to the Model X were looking slim to none, but it appears most of the fixes actually happened under the body, at least according to Tesla’s Vice President of Powertrain, Lars Moravy.
In a recent interview with Car and Driver, Moravy detailed all of the changes to the 2026 iteration of the vehicle, which was about 400 pounds lighter than it was originally. The biggest change is a modification with the rear motor, switching from an induction-type motor to a permanent-magnet design and optimizing the half-shafts, which shed about 100 pounds.
Tesla also got “almost 80 pounds out of the interior bits and pieces,” which “included making parts thinner, different manufacturing process choices, and incorporating airbag-deployment requirements into the headliner fabric,” the report said.
Additionally, the standard five-passenger, bench seat configuration saved 50 pounds by ditching pedestal mounting. This also helped with practicality, as it helped the seat fold flat. Engineers at Tesla also saved 44 pounds from the high-voltage wiring through optimizing the wiring from the charge-port DC/DC converter and switching from copper to aluminum wiring.
Tesla makes a decision on the future of its flagship Model S and Model X
Tesla also simplified the cooling system by reducing the number of radiators. It also incorporated Nürburgring cooling requirements for the Plaid variant, which saved nearly 30 pounds.
Many Tesla fans will be familiar with the megacastings, manufactured in-house by presses from IDRA, which also saves more than 20 pounds and boosts torsional stiffness by around 10 percent. Tweaks to the suspension also saved 10 pounds.
People were truly disappointed with what Tesla did with the Model S and Model X, arguing that the cars needed a more severe exterior overhaul, which might be true. However, Tesla really did a lot to reduce the weight of the vehicle, which helps increase range and efficiency. According to Grok, every 200 pounds removed adds between 7 and 15 percent to range estimations.
This makes sense considering the range estimations both increased by 7 percent from the Model X’s 2025 configuration to the 2026 builds. Range increased on the All-Wheel-Drive trim from 329 miles to 352 miles, while the Plaid went from 314 miles to 335 miles.
Tesla FSD (Supervised) is about to go on “widespread” release
Tesla FSD V14.2 starts rolling out to initial batch of vehicles
