In an interview with Teslarati, an early Tesla Model 3 owner, shared her story of how her Tesla saved her and her family’s lives when they were hit by another car. Anna Febiana was picking up her son and daughter from school and were just minutes away from their home when they were struck by a BMW.
Anna took delivery of her Model 3 in December of 2018 and the accident happened on October 1, 2019. Although it happened two years ago, this was a hard story for Anna to share due to the trauma but she believed that people need to know that her Tesla saved her and her family’s lives.
“That was a Thursday afternoon and the crazy thing is that people think accidents happen on the freeway or the busy street. No, it was two miles away from my house at a quiet intersection. I was hit by a Series 5 BMW. I think it’s an older version, like the early 2000s. The car was bigger than my Tesla Model 3.”
The impact caused her car to spin twice and crash into a wooden street pole that fell onto the roof over her Model 3. It was the glass roof that prevented the pole from fully penetrating the roof. Although it left a hole, the glass held.
Tesla glass is a key safety design in its vehicles and it can not only protect drivers from UV rays but it can take on four times the weight of the car. This fact has been proven in multiple stories of accidents where miraculously, the occupants in the car survived.
“I don’t think we could have come out of the car to tell this story if it’s not for stable the Model 3 was. But also especially for my son, if it was not for how strong the roof of the car was, I don’t think he would be here,” Anna told me over the phone.
Anna’s daughter was sitting on the back passenger’s side where the impact occurred. Although she and her daughter had concussions, there were no bruises.
“The back wheel on the passenger side was completely crooked. My daughter was sitting there and because of how good the airbags were inside, I believe that saved my daughter. Both my daughter and I had concussions. My daughter had it a little bit worse than I had it. But there were no bruises on my daughter. It’s a miracle.”
Anna told me that she believed that God protected her that day through how safe the Model 3 was. She also didn’t realize how bad the accident was.
“After the accident, my son had all this corn-sized glass on top of his head and I didn’t have time to analyze anything. I was so shocked. My kids were in shock. My son had a bloody nose and half of his face was swollen.”
At that moment, her focus was on her children, not the accident itself. So she didn’t realize how bad it was until afterward. The car, she told me, didn’t flip over and they were able to leave the car.
When she saw the car after the accident, that’s when the gravity of the situation set in. She realized that all of the airbags had been deployed. And there was a big dent in the glass roof and a hole. The hole was above where her son was sitting. It was then she realized where those corn-sized pieces of glass came from.
“I don’t know if any other car has airbags the way Tesla designs the car with the airbags but with the strong impact, I had the side airbags deployed. The back–and I believe, as I said, saved my kids. That and how strong the car was.”
“My daughter got out of that crash with just a concussion. It’s a testament to how well built the car was.”
“When my car spun and stopped, the back of the car hit a street pole. I’ve never seen a wooden street pole anymore. I believe that the pole is the last of a kind in the city. It’s a wooden pole that held three different street signs. It was so heavy and I think that’s why the glass broke but it didn’t break completely.”
“Coming back and looking at the car, I got chills. Had it been any other glass or roof, I don’t think my son would be here today. He was sitting under that pole.”
Anna was the first person in her circle of friends to buy a Tesla. Many of her friends said that she was fancy and no, she was just tired of paying for service and maintenance and wanted to contribute to the planet by driving an EV.
After the accident, she told me that many of her friends had skeptical questions. She told them that she was alive because her car was a Model 3. And of course, she was going to get another Tesla.
“People need to know. This is a good car. It’s fancy for some people. But it’s safe and I will get it again. And we got another Model 3.”
Note: Johnna is a Tesla shareholder and supports its mission.
Your feedback is important. If you have any comments, or concerns, or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter @JohnnaCrider1
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
