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Tesla’s no-side-mirror approach becomes feasible as NHTSA ponders camera-based systems
When Tesla unveiled the next-generation Roadster and the Cybertruck to the world, the two vehicles immediately shocked the automotive industry. The Roadster stunned because of its insane specs, and the Cybertruck shocked because of its unorthodox design that is unlike any other pickup truck on the market. However, the two vehicles also share something very unique: they both lack side mirrors.
Federal Motor Vehicle Safety Standard No. 111, titled “Rear Visibility,” requires all vehicles to “be equipped with rearview mirrors to provide drivers with a view of objects that are to their side or their side and rear.” However, the NHTSA recently hinted that “light vehicles and heavy trucks” may eventually be equipped with camera systems instead of traditional side mirrors.
An edition of the United States government’s Federal Register from late 2019 shows the National Highway Transportation Safety Administration sought more information on the possibility of vehicles utilizing a “Camera Monitor System,” or CMS. The removal of mirrors instead of camera systems would eliminate the need for traditional side mirrors and possibly rearview mirrors, too.
Tesla’s absence of side mirrors started back in 2013 with the unveiling of the Model X. After wrestling with the idea of a side-mirrorless SUV to increase aerodynamic performance, CEO Elon Musk stated that manufacturers were required to install side mirrors on vehicles. A side mirror-less design actually benefits electric cars like Teslas, since side mirrors increase drag, reducing range. This was done by Audi with the e-tron, with the vehicle being offered with a side mirror-less trim that is slightly more efficient.
The Cybertruck’s side mirrors were absent during its unveiling event in November 2019. Instead of regular mirrors, Tesla had equipped the vehicle with Autopilot cameras that are in the truck’s front fender. Many enthusiasts of the electric carmaker speculated that this was a design that wouldn’t enter production as regulations still existed that required side mirrors.
To determine the effectiveness of camera systems instead of traditional mirrors, the NHTSA conducted its research and testing. The organization also examined testing performed by other parties. The CMS noted that during a trial period from 2006 to 2011, NHTSA research showed that several safety concerns arose from the use of cameras instead of mirrors. These stemmed from glares when sunlight touched the cameras. However, the German Federal Highway Research Institute published a separate study that showed the CMS meets “specific quality criteria” and can provide “sufficient” rear visibility for drivers.
So the question is: What has changed in the nine years since the study concluded? For one, cameras have gotten significantly better. What was once a quality piece of photography equipment can be found on the back of an iPhone. High-resolution pictures and videos are not uncommon, and it is not rare for even extremely affordable cameras to provide better quality images than what was available in 2011.
To determine an accurate and fair assessment of the CMS, a new study should be performed using the 2020 technology. The use of rearview backup cameras is a standard feature on most vehicles today. While such systems are used mostly when backing into a parking spot, it is still relevant, and it shows that the widely adopted technology can be used in an effective and safe manner. This feature could be expanded on, and mirrors could be removed from vehicles if the proper research was performed and quality cameras were placed on a vehicle’s exterior.
Tesla has hinted at mirrorless driving in the past, and the door is open now more than ever. It seems this system could be integrated into performance vehicles like the Roadster, or pickups like the Cybertruck in the future. The designs of these two all-electric vehicles have hinted towards a future that does not include traditional side mirrors, which could change the way other carmakers design vehicles as a whole. Tesla’s minimalistic interior and large centrally-located dash screen has been adopted by many other carmakers, showing the electric car company influences other automakers in the industry. A side-mirror-less theme may be the next big trend that Tesla starts.
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
