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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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Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
