The user experience of Tesla’s electric cars is centered mostly on the vehicles’ large, high-resolution displays. Coupled with custom software that provides a quick, smartphone-like experience, Tesla’s screens in its vehicles are already among the best in the auto industry. But in the spirit of the company’s habit of constant innovation, it appears that Tesla is looking to improve the quality of its displays even more.
A recently published patent from the electric car maker, titled “Holographic Decorated Glass for Screen Color Matching,” outlines a way for the electric car maker to improve the viewing angles of its vehicles’ displays. In the patent, Tesla notes that “because display screens typically have a periodic micro-structure (e.g., a pixelated structure), the color of the display screen may be dependent on the angle at which a viewer is looking at the display screen.” This results in viewing angles that have significant room for improvement, even among high-quality screens.
“The non-displaying portions of the device may be unable to match this angular color dependence of the display screen, resulting in a readily visible boundary between the display screen and the non-displaying portions of the device. Accordingly, there is a need for better color integration between the displaying portions of a device and the non-displaying portions of the device,” Tesla wrote.
To address this, Tesla opted to utilize a pigmented frame and index match glue to coat its vehicles’ screens, as well as a holographic glass panel. By adopting these techniques, Tesla expects to provide its vehicles with a screen that can offer optimal viewing angles for all passengers. This is especially useful when paired with the company’s entertainment features such as Tesla Theater or Tesla Arcade, which are accessible when a vehicle is on Park.
Tesla describes its use of index match glue and holographic glass panels as follows.
“Index match glue 206 may change the perceived color and appearance of display 204 to match the color and appearance of surrounding frame 202 within a small range of viewing angles. For example, index match glue 206 may change the perceived color and appearance of display 204 to match the color and appearance of frame 202 within a range of viewing angles approximately normal to the surface of display 204. However, due to the angular dependence of the perceived color and appearance of display 204 (due to display 204 having a holographic structure resulting from the pixels of display 204), index match glue 206 may be unable to change the perceived color and appearance of display 204 to match the color and appearance of frame 202 within a broad range of viewing angles so that the boundary between frame 202 and display 204 is invisible to a viewer. Accordingly, with display 204 coated with index match glue 206 surrounded by frame 202, the boundary between frame 202 and display 204 may still be readily visible at certain viewing angles.”
“The directionality of the periodic structure of holographic film 402 may approximate or match the directionality of the periodic structure of display 406. For example, if display 406 includes a plurality of periodic features (e.g., pixels) oriented in a first direction (e.g., rectangles, triangles, or the like having a common orientation), holographic film 402 may include a plurality of periodic features oriented in the first direction. FIG. 5 shows exemplary system 500 in which the visibility of a boundary between display 504 and a surrounding frame including a holographic structure (here holographic glass panel 502) may be reduced or eliminated over a broad range of viewing angles. In exemplary system 500, a periodic structure is formed on holographic glass panel 502 directly. For example, laser etching on holographic glass panel 502 may produce the periodic structure responsible for the holographic effect of holographic glass panel 502. Holographic glass panel 502 may include holographic structures formed in a variety of other ways, including ablation, etching, deposition processes, and the like.”
The full text of Tesla’s “Holographic Decorated Glass for Screen Color Matching” patent could be viewed here.
A color-matched display with optimal viewing angles might be a rather minor aspect of a vehicle, but for connected cars such as Teslas, it is these little things that make a difference in user experience. A car that boasts some of the most advanced automotive tech available in the auto segment today, after all, deserves a screen that is on par with some of the best mobile devices on the market.
Tesla’s display design outlined in its recently published patent can come in handy as well, particularly as the electric car maker introduces more updates to its fleet of vehicles. Among these is a “Fade Mode,” which Elon Musk has hinted at in the past. While responding to a Twitter follower last year, Musk responded positively to the suggestion of adding an option that allows drivers to dim their vehicles’ display while a car is in motion. This, together with features like V10’s Joe Mode, could help make long trips in Tesla’s electric vehicles much more convenient for passengers.
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
