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Mercedes-Benz DRIVE PILOT captures world’s first approval for hands-free driving
Mercedes-Benz DRIVE PILOT has captured the world’s first approval for ‘conditionally automated’ driving on German highways with its Level 3 system. The German automaker’s DRIVE PILOT is the first internationally valid system, as it met the requirements of Global Automotive Regulation No. 157, which concerns the approval of vehicles with regards to Automated Lane-Keeping Systems.
Mercedes-Benz announced the accomplishment, calling it proof of the company’s “pioneering work in automated driving.” The German Federal Motor Transport Authority granted the approval.
“For many years, we have been working to realize our vision of automated driving. With this LiDAR-based system, we have developed an innovative technology for our vehicles that offers customers a unique, luxurious driving experience and gives them what matters most: time. With the approval of the authorities, we have now achieved a breakthrough: We are the first manufacturer to put conditionally automated driving into series production in Germany,” Member of the Board of Management of Daimler AG and Mercedes-Benz AG, Chief Technology Officer responsible for Development and Purchasing Markus Schäfer said.
Die Bedienelemente für den DRIVE PILOT sitzen im Lenkradkranz oberhalb der Daumenmulden rechts und links. Aktiviert der Fahrer den DRIVE PILOT, regelt das System Geschwindigkeit und Abstand und führt das Fahrzeug souverän innerhalb der Spur. // The controls for DRIVE PILOT are located in the steering wheel rim above the thumb recesses on the right and left. If the driver activates DRIVE PILOT, the system regulates speed and distance and guides the vehicle confidently within the lane.
DRIVE PILOT will first be available in Mercedes-Benz S-Class models in the first half of 2022. There will be initial limitations with the functionality’s ability, and drivers will only be able to drive at speeds of up to 60 km/h or 37 MPH on German highways. This will effectively limit the Level 3 system to operating in “heavy traffic or congested situations on suitable stretches of highway in Germany.” Regularly flowing traffic patterns at speeds that exceed the approved limits will require a normal driving operation.
Levels of autonomous driving have been outlined by the Society of Automotive Engineers (SAE). Level 3 Autonomy does not require humans to perform the act of driving. However, of the three levels that allow hands-free driving, which are Levels 3, 4, and 5, Level 3 is the only category in which the driver must take over if the vehicle requests human intervention. Level 3 is effectively described as a “traffic jam chauffeur,” which would align with the capabilities of the DRIVE PILOT system.
“During the conditionally automated journey, DRIVE PILOT allows the driver to take their mind off the traffic and focus on certain secondary activities, be it communicating with colleagues via In-Car Office, surfing the internet, or relaxing while watching a film. In DRIVE PILOT mode, applications can be enabled on the vehicle’s integrated central display that are otherwise blocked while driving,” the automaker wrote.
The system will initially be available on 8,197 miles or 13,191 kilometers of German highway. Mercedes-Benz said that it is working on completing extensive test drives in other markets, including the U.S. and China, so that it can launch DRIVE PILOT in countries outside of Germany.
DRIVE PILOT in der S-Klasse: Hochautomatisiertes Fahren auf Deutschlands Autobahnen // DRIVE PILOT in the S-Class: Conditionally automated driving on German freeways
DRIVE PILOT uses a LiDAR-based system for operation, but it also has a camera in the rear window and a microphone, which will both be used to detect approaching emergency vehicles by recognizing flashing blue lights and sirens. There is also a moisture sensor in the wheel well, used for detecting slippery or wet driving conditions. A digital HD map will transmit information regarding road geometry, route profile, traffic signs, and unusual traffic events, including accidents or road work, to DRIVE PILOT, helping it make informed and logical decisions throughout the vehicle’s operation.
Mercedes-Benz also said that it has implemented a safety system that will inform the driver of when the vehicle needs to be back in the control of a human. If the driver fails to take back control of the car for any reason, including medical emergencies, the vehicle’s braking system will bring the car to a stop in a controlled manner while also activating hazard lights. Mercedes-Benz has an emergency call system, which will automatically contact first responders, and the vehicle’s doors and windows will unlock for easier access for first responders.
Mercedes-Benz has been working to get DRIVE PILOT approved by regulators since mid-2021.
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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
