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Tesla Semi tire inflation patent paves way for pickup truck, Model Y & X’s off-road abilities
During Tesla’s third-quarter earnings call, Elon Musk noted that the company continues to make headway on its future vehicles. Musk noted that he had already approved the production of the Model Y prototype, while pointing out that the company is making progress on the next-generation Roadster and the Tesla Semi. Musk reiterated his enthusiasm about the Tesla pickup truck as well, which he admits is a vehicle he is most excited about.
Some of the improvements to the Tesla Semi appear to have been teased in one of the company’s recently-published patent applications. The patent, which was published on October 18, 2018, and titled “Automatic Tire Inflation System with Thru-Hub Air Feed,” outlined a system enabling Tesla’s vehicles to inflate or deflate their tires as necessary. While several vehicles today already have Automatic Tire Inflation Systems, Tesla’s patent application notes that conventional ATIS have much room for improvement.
“These prior solutions had a number of shortcomings. With some prior art techniques, air was fed through hollow drive axles to a fitting located on the end thereof. The fitting was then coupled to the air inlets of the tires. To couple the air into the hollow drive axles, a rotatingly attached fitting coupled air from an air storage to the inside of the hollow axles. This fitting was subject to leakage of contaminants. These contaminants interfered with the operation of the ATIS and eventually caused the ATIS to fail.”
Diagrams of Tesla’s Automatic Tire Inflation System. [Credit: US Patent Office]
Tesla’s ATIS patent involves a system that features valves, a rotary air seal, and bearings, to avoid contamination. With such a system in place, Tesla notes that the wheels of its vehicles would likely last longer, and tires would require even less maintenance.
“In order to overcome the shortcomings described above among other shortcomings, an Automatic Tire Inflation System (ATIS) for use with a vehicle according to a first described embodiment includes a controller, valves controlled by the controller, the valves having an air supply inlet, and a plurality of air outlets. Further, the ATIS includes, for at least one drive axle having inner bearings and outer bearings, a channel formed in a spindle, first hosing coupling a valve of the valves controlled by the controller to the channel formed in the spindle, a channel formed in a hub, a rotary air seal residing between the inner bearings and the outer bearings and coupling the channel formed in the spindle to the channel formed in the hub, and second hosing coupling the channel formed in the hub to at least one wheel.
“Thus, as compared to the prior ATIS systems, the ATIS of the first embodiment, significantly reduces contamination in the ATIS air stream. Reduction in contamination extends the life of the ATIS, extends spindle life, extends hub life, and extends serviced wheel/tire lives and extends maintenance intervals.”
While the diagrams in the patent application suggest that Tesla’s upcoming ATIS would be used for the Semi, the applications for the automatic tire inflation system for the company’s other, upcoming vehicles are notable. Having the capability to automatically inflate tires depending on the terrain, after all, would allow Tesla to start giving its vehicles some form of off-road capability. Under-inflated tires are key to off-road driving, since they are capable of flexing more, allowing vehicles to “crawl” over rocks and other sharp, irregular terrain. Under-inflated tires also have a wider contact path, allowing vehicles to gain more traction in terrain like deep sand or soft snow.
For now, Tesla’s vehicles are optimized for city and interstate driving, and while there are accounts of the Model X being taken off-road (EV YouTuber Bjorn Nyland’s extreme driving test sessions come to mind), the company’s electric cars are yet to have features that are specifically geared towards off-road driving. With an ATIS system, Tesla’s upcoming vehicles such as the Tesla pickup truck, and even the company’s SUVs like the Model Y and a future iteration of the Model X, could have the ability to explore areas beyond paved roads. Such capabilities would likely be invaluable, considering that legendary vehicles like the Ford F-150 and the Chevy Blazer established their legacies by proving themselves capable in areas where neither asphalt nor concrete is present.
Tesla’s full patent for its Automatic Tire Inflation system could be accessed here.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
