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Mercedes-Benz DRIVE PILOT captures world’s first approval for hands-free driving

Während der hochautomatisierten Fahrt, ermöglicht DRIVE PILOT dem Fahrer sich vom Verkehrsgeschehen ab- und bestimmten Nebentätigkeiten zu zuwenden. Zum Beispiel mit den Kollegen via In-Car-Office zu kommunizieren, Mails zu schreiben, im Internet zu surfen oder entspannt einen Film anzuschauen. // During the conditionally automated journey, DRIVE PILOT enables the driver to move away from the traffic situation and to turn to certain secondary activities. For example, communicating with colleagues via in-car office, writing e-mails, surfing the Internet or watching a movie in a relaxed way.

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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.

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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.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla Model 3 gets perfect 5-star Euro NCAP safety rating

Tesla prides itself on producing some of the safest vehicles on the road today.

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Credit: Tesla Singapore/X

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.

Standout Safety Features

As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.

The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.

Standout Safety Features

In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.

“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place. 

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“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.

Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.

Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd

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USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards

The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

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Credit: Elon Musk/X

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.

Duffy’s Giga Texas Visit

As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X. 

He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”

National Standard

While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”

Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.

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Tesla posts Optimus’ most impressive video demonstration yet

The humanoid robot was able to complete all the tasks through a single neural network.

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Credit: Tesla Optimus/X

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.

Optimus’ Newest Demonstration

In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.

What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.

Tesla VP for Optimus Shares Insight

In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.

“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).

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“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.

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