News
Tesla’s camera-based driver monitoring system exists; pretending it doesn’t makes roads less safe
Tesla’s FSD Beta program has begun its expansion to more users. And while the system is only being distributed today to drivers with a perfect Safety Score, the advanced driver-assist system is expected to be released to users with a rating of 99 and below in the near future. True to form, with the expansion of FSD Beta also came the predictable wave of complaints and pearl-clutching from critics, some of whom still refuse to acknowledge that Tesla is now utilizing its vehicles’ in-cabin camera to bolster its driver-monitoring systems.
Just recently, the NHTSA sent a letter to Tesla asking for an explanation why the company rolled out some improvements to Autopilot without issuing a safety recall. According to the NHTSA, Tesla should have filed for a recall notice if the company found a “safety defect” on its vehicles. What was missed by the NHTSA was that the Autopilot update, which enabled the company’s vehicles to slow down and alert their drivers when an emergency vehicle is detected, was done as a proactive measure, not as a response to a defect.
Consumer Reports Weighs In
Weighing in on the issue, Consumer Reports argued that ultimately, over-the-air software updates do not really address the main weakness of Teslas, which is driver-monitoring. The magazine admitted that Tesla’s driver-assist system’s object detection and response is better than comparable systems, but Kelly Funkhouser, head of connected and automated vehicle testing for Consumer Reports, argued that it is this very reason why the magazine has safety concerns with Tesla’s cars.
“In our tests, Tesla continues to perform well at object detection and response compared to other vehicles. It’s actually because the driver assistance system performs so well that we are concerned about overreliance on it. The most important change Tesla needs to make is to add safeguards—such as an effective direct driver monitoring system—to ensure the driver is aware of their surroundings and able to take over in these types of scenarios,” Funkhouser said.
Jake Fisher, senior director of Consumer Reports‘ Auto Test Center, also shared his own take on the issue, particularly around some Autopilot crashes involving stationary emergency vehicles on the side of the road. “CR’s position is that crashes like these can be avoided if there is an effective driver monitoring system, and that’s the underlying problem here,” Fisher said, adding that over-the-air software updates are typically not sent to address defects.
Tesla’s camera-based DMS
Funkhouser and Fisher’s reference to direct driver monitoring systems is interesting because the exact feature has been steadily rolling out to Tesla’s vehicles over the past months. It is quite strange that Consumer Reports seems unaware about this, considering that the magazine has Teslas in its fleet. Tesla, after all, has been rolling out its camera-based driver monitoring system to its fleet since late May 2021. A rollout of the camera-based system to radar-equipped vehicles was done in the previous quarter.
Tesla’s Release Notes for its camera-based driver monitoring function describes how the function works. “The cabin camera above your rearview mirror can now detect and alert driver inattentiveness while Autopilot is engaged. Camera data does not leave the car itself, which means the system cannot save or transmit information unless data sharing is enabled,” Tesla noted in its Release Notes.
What is interesting is that Consumer Reports‘ Jake Fisher was made aware of the function when it launched last May. In a tweet, Fisher even noted that the camera-based system was not “just about preventing abuse;” it also “has the potential to save lives by preventing distraction.” This shows that Consumer Reports, or at least the head of its Auto Test Center, has been fully aware that Tesla’s in-cabin cameras are now steadily being used for driver monitoring purposes. This makes his recent comments about Tesla’s lack of driver monitoring quite strange.
Legacy or Bust?
That being said, Consumer Reports appears to have a prepared narrative once it acknowledges the existence of Tesla’s camera-based driver-monitoring system. Back in March, the magazine posted an article criticizing Tesla for its in-cabin cameras, titled “Tesla’s In-Car Cameras Raise Privacy Concerns.” In the article, the magazine noted that the EV maker could simply be using its in-cabin cameras for its own benefit. “
“We have already seen Tesla blaming the driver for not paying attention immediately after news reports of a crash while a driver is using Autopilot. Now, Tesla can use video footage to prove that a driver is distracted rather than addressing the reasons why the driver wasn’t paying attention in the first place,” Funkhouser said.
Considering that Consumer Reports seems to be critical of Tesla’s use (or non-use for that matter) of its vehicles’ in-cabin cameras, it appears that the magazine is arguing that the only effective and safe driver monitoring systems are those utilized by veteran automakers like General Motors for its Super Cruise system. However, even the advanced eye-tracking technology used by GM for Super Cruise, which Consumer Reports overtly praises, has been proven to be susceptible to driver abuse.
This was proven by Car and Driver, when the motoring publication fooled Super Cruise into operating without a driver using a pair of gag glasses with eyes painted on them. One could easily criticize Car and Driver for publicly showcasing a vulnerability in Super Cruise’s driver monitoring systems, but one has to remember that Consumer Reports also published an extensive guide on how to fool Tesla’s Autopilot into operating without a driver using a series of tricks and a defeat device.
Salivating for the first FSD Beta accident
What is quite unfortunate amidst the criticism surrounding the expansion of FSD Beta is the fact that skeptics seem to be salivating for the first accident involving the advanced driver-assist system. Fortunately, Tesla seems to be aware of this, which may be the reason why the Beta is only being released to the safest drivers in the fleet. Tesla does plan on releasing the system to drivers with lower safety scores, but it would not be a surprise if the company ends up adopting an even more cautious approach when it does so.
That being said, incidents on the road are inevitable, and one can only hope that when something does happen, it would not be too easy for an organization such as Consumer Reports to run away with a narrative that echoes falsehoods that its own executives have recognized publicly — such as the potential benefits of Tesla’s camera-based driver monitoring system. Tesla’s FSD suite and Autopilot are designed as safety features, after all, and so far, they are already making the company’s fleet of vehicles less susceptible to accidents on the road. Over time, and as more people participate in the FSD Beta program, Autopilot and Full Self-Driving would only get safer.
Tesla is not above criticism, of course. There are several aspects of the company that deserves to be called out. Service and quality control, as well as the treatment of longtime Tesla customers who purchased FSD cars with MCU1 units, are but a few of them. However, it’s difficult to defend the notion that FSD and Autopilot are making the roads less safe. Autopilot and FSD have already saved numerous lives, and they have the potential to save countless more once they are fully developed. So why block their development and rollout?
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
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
