News
Tesla’s new Lane Departure Avoidance feature will steer owners out of harms way even without Autopilot
Tesla has introduced two new active lane monitoring features designed to help prevent drivers from unintentionally leaving their lane of travel as part of its safety-first mission to reduce vehicle accidents. The two features, named ‘Lane Departure Avoidance’ and ‘Emergency Lane Departure Avoidance’, are derived from Autopilot, yet work while it’s not on, and are being rolled out to all Model S, Model 3, and Model X customers worldwide with vehicles built after October 2016.
The Lane Departure Avoidance feature is an extension of Lane Departure Warning and applies corrective steering to keep drivers in their intended travel lane if a departure is sensed without a turn signal. It also monitors whether a driver’s hands are detected on the wheel and sends a series of reminders and alerts if not, similar to the warnings issued to Autopilot users. Additionally, if Traffic Aware Cruise Control is in use and hands are not detected on the wheel, the car will gradually slow down 15 miles below the speed limit or car’s set speed and turn the hazard lights on. The feature is optional and works between 25 and 90 mph.
Emergency Lane Departure Avoidance is automatically enabled and is designed to return a Tesla vehicle back to its original lane if a departure and an imminent collision are detected. The automatic steering will also come into play if the car is nearing the edge of a road. This version of Lane Departure Avoidance is turned on at the beginning of each drive and can only be turned off via the Autopilot Controls menu for single drives.
Tesla’s safety data indicates that these types of features may be effective for preventing accidents when Autopilot is not in use.
A blog post on Tesla’s recent Lane Departure Autopilot security features was published, a copy of which can be found below:
More Advanced Safety for Tesla Owners
The Tesla Team May 2, 2019
While no car can prevent all accidents, we work every day to make them less likely to occur. The massive amount of real-world data gathered from our cars’ eight cameras, 12 ultrasonic sensors, and forward-facing radar, coupled with billions of miles of inputs from real drivers, helps us better understand the patterns to watch out for in the moments before a crash.
As our quarterly safety reports have shown, drivers using Autopilot register fewer accidents per mile than those driving without it. That’s because Autopilot is designed to reduce fatigue by helping drivers stay in their lane, while also ensuring that they keep their hands on the wheel. While lane-keeping and hands-on monitoring can be extremely effective at helping to reduce the likelihood of an accident when Autopilot is in use, we believe that these precautions can also be extremely effective for preventing accidents when Autopilot is not in use.
Today, we’re introducing two new safety features designed to help prevent drivers from inadvertently departing their lane, which our data shows is a common cause of accidents when Autopilot is not in use. These new features – Lane Departure Avoidance and Emergency Lane Departure Avoidance – help drivers stay engaged and in their lane in order to avoid collisions.
Lane Departure Avoidance
Lane Departure Avoidance lets a driver elect to have corrective steering applied in order to keep them in their intended lane. When the feature is in use and a driver is departing a lane without their turn signal on, the car will also check to see whether a driver’s hands are on the wheel. If a driver’s hands are not detected on the wheel, the driver will receive a series of hands-on reminders and alerts, similar to the ones that our cars provide to customers who use Autopilot. If a drivers’ hands are repeatedly not detected on the wheel when Traffic Aware Cruise Control is in use, their car will gradually slow down to 15 miles below the speed limit or below the car’s set speed, and turn its hazard lights on.
This feature can be turned on or off, and works at speeds between 25 and 90 mph. It is an extension of Lane Departure Warning, which already warns drivers through a steering wheel vibration if they begin to drift out of their lane without their turn signal engaged.
Emergency Lane Departure Avoidance
Emergency Lane Departure Avoidance is designed to steer a Tesla vehicle back into the driving lane if our system detects that it is departing its lane and there could be a collision, or if the car is close to the edge of the road. This feature will automatically be enabled at the beginning of every drive, but can be turned off for a single drive by going to the Autopilot Controls menu.
At Tesla, improving safety is our primary goal, even after a customer purchases their car. That’s why we’re introducing these features beginning today via a free over-the-air software update, starting with Model 3 owners and gradually expanding to all cars that were built after October 2016. This is just another way that we are helping to protect Tesla drivers and passengers, and others on the road, every day.
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
