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Tesla’s crazy laser windshield wipers have been published by the US Patent Office
Tesla’s idea for a crazy windshield wiper that would clear debris from a driver’s line of sight using a laser beam has been officially published by the United States Patent Office. Tesla filed the application for the patent in May 2019, and it finally was granted in late 2021. Now, the U.S. Patent Office has published the patent, making it publicly viewable.
Tesla has long been interested in some pretty crazy and revolutionary ideas for automobiles. Over the years, Tesla has looked at several different designs and ideas for windshield wipers, using anything from a single-wiper system for the Next-Gen Roadster that would utilize an electromagnetic linear actuator to rid the windshield of moisture, to no wipers at all when it unveiled the Cybertruck in November 2019. Most recent sightings of Tesla’s Cybertruck have indicated the vehicle will have wipers, but Tesla is still revising the design.
With all of the crazy ideas Tesla has thrown around for wipers in the past, the patent for the automaker’s “Pulsed Laser Cleaning of Debris Accumulated on Glass Articles in Vehicles and Photovoltaic Assemblies” is among the most interesting. Originally filed in May 2019, Tesla recently had the idea published by the U.S. Patent Office, meaning if the Office does not ultimately grant the patent, the public can still learn from the work and perhaps develop another system that could be granted.
Tesla describes the patent in the now-published filing:
A cleaning system for a vehicle includes a beam optics assembly that emits a laser beam to irradiate a region on a glass article of the vehicle, debris detection circuitry that detects debris accumulated over the region, and control circuitry. The control circuitry calibrates a set of parameters associated with the laser beam emitted from the beam optics assembly based on detection of the debris accumulated over the region on the glass article, controls an exposure level of the laser beam on the debris accumulated based on calibration of the set of parameters associated with the laser beam, wherein the exposure level is controlled based on pulsing the laser beam at a calibrated rate that limits penetration of the laser beam to a depth that is less than a thickness of the glass article and removes the debris accumulated over the region on the glass article using the laser beam.”
It is not necessarily confirmed or known what plans Tesla may have for the laser windshield wipers, but illustrations within the patent do seem to display a Model S body. Tesla may be willing to test this type of apparatus on some of its vehicles in-house, but the automaker has never detailed specific plans for the idea.
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- Credit: US Patent Office
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- Credit: Tesla
Tesla’s flowchart describing the process for the patent is relatively simple, and also shows uses with clearing debris from solar panels. In five steps, the patent describes the use of the laser cleaning assembly:
- Detect debris accumulated on a region on glass article installed in vehicle
- Calibrate a set of parameters associated with laser beam emitted from beam optics assembly, based on detection of debris accumulated on a region on glass article
- Control exposure level of laser beam on detected debris accumulated on glass article based on calibration of set of parameters associated with laser beam
- Irradiate region associated with the detected debris on glass article by laser beam
- Remove detected debris accumulated on region by laser beam
It doesn’t appear to be operated by the vehicle itself, either. Tesla describes the potential for a manual system where the driver could control the laser with a touchscreen, joystick, or another medium to communicate with different operational components of the cleaning apparatus.
While it seems like an outlandish and potentially satirical idea, it would not be too far past Tesla’s realm of ideas to use a laser to clear a windshield. After all, CEO Elon Musk has said in the past that the Roadster will fly thanks to SpaceX cold gas thrusters, Tesla has filed a patent for the Cybertruck to have solar cells on its tonneau for additional electric vehicle range, and plenty of other insane ideas. However, the new laser patent, if ultimately used by Tesla, would only decrease the already-minimal maintenance costs owners deal with, as yearly keep-up costs on EVs are extremely low.
Tesla Pulsed Cleaning Debris Accumulated on Glass Articles in Vehicles and Photovoltaic Assemblies by Joey Klender on Scribd
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
