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Tesla Model 3, Model X take top honors in Euro NCAP Best in Class Cars 2019 List

Tesla Model 3 Euro NCAP Best Large Family Car 2019 (Source: Euro NCAP | YouTube)

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The European New Car Assessment Programme or more popularly known as Euro NCAP published its “Best of the Best of 2019” list and the Tesla Model X and Model 3 are among the Best In Class for 2019.

The Tesla Model 3 was named the best vehicle in the Large Family Car category and shared the spotlight with the BMW 3 Series, despite edging out the Bavarian sedan in Safety Assist by receiving a score of 94 versus BMW’s 76. Euro NCAP also awarded the Tesla Model X all-electric SUV as the best Large Off-Road vehicle, beating out the SEAT Tarraco which took home second place.

The awards come with prestige as Euro NCAP is one of the most respected car safety watchdogs, providing consumers with an independent and realistic safety assessment of some of Europe’s most popular vehicles. Established in 1997 and modeled after the car assessment program of the U.S. National Highway Traffic Safety Administration, the program has since served as a catalyst when it comes to improving vehicle safety. The Euro NCAP overall safety rating was introduced in 2009 and evaluates the safety of the vehicle based on four areas: Adult Occupant Protection, Child Occupant Protection, Pedestrian Protection, and Safety Assist.

The Euro NCAP safety tests simulate possible real-life accidents that may cause serious injuries or even death of vehicle occupants. For example, the frontal impact test simulates accidents such as head-on collisions where the vehicle’s structure, how its parts safely absorb different crash forces, and whether the vehicle’s design leaves enough space in the passenger compartment during big collisions are looked into because these factors can spell the difference between life and death. Euro NCAP also tests vehicles to see if their child restraint systems are properly designed and can keep the child safe during vehicular accidents.

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The category on Vulnerable Road User tests how other users such as pedestrians and cyclists are at risk of injuries when they are hit by the vehicles undergoing testing. The safety watchdog also scores driver-assist technologies that help lower the risk of accidents on the road and also mitigate injuries.

As the Model 3 and Model X rule their respective categories in the Best In Class of 2019 list just helps prove that Tesla is on the right path in building safe vehicles from the ground up, plus developing technologies such as its Autopilot and Full Self-Driving features that push vehicle safety to the next level.

To be included in Euro NCAP Best in Class Cars Of 2019 list is a feather in any automotive manufacturer’s cap. It means the vehicles are among the safest on the road today.

In mid-2019, the car safety watchdog awarded the Tesla Model 3 sedan 5 stars in all of its safety categories, which set the bar higher for vehicles in its class.

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“Tesla has done a great job of playing the structural benefits of an electric vehicle to its advantage. The Tesla Model 3 achieved one of the highest Safety Assist scores we have seen to date,” said Thatcham Research head of research Matthew Avery.

The Model 3 has shown off its safety features in the real world, most recently protecting a driver after an SUV landed on top of a Model 3 during a multi-car pile-up in China.

The Model 3’s bigger sibling, the Model X, is also considered a champ by Euro NCAP as it awarded Tesla’s flagship SUV a 5-Star Safety Rating in December.

Other Best In Class for 2019 winners include Mercedes-Benz CLA for the Small Family Car category with Mazda 3 as its runner-up. The Subaru Forester ruled the Small Off-Road/MPV category with the Volkswagen T-Cross and the Mazda CX-30 sharing the second spot. The best in the Supermini category was given to the Audi A1 and Renault Clio with the Ford Puma given the runner-up honors.

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Check out the video footage below showing Euro NCAP’s Best In Class Cars of 2019:

A curious soul who keeps wondering how Elon Musk, Tesla, electric cars, and clean energy technologies will shape the future, or do we really need to escape to Mars.

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Tesla piggybacks recent Supercharger feature with update that takes it further

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Credit: Tesla

Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.

This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.

The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.

Tesla supplements Holiday Update by sneaking in new Full Self-Driving version

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Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.

Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:

This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.

Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.

Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.

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Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.

In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.

As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.

With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.

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Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it

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Credit: TESLARATI

Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.

The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:

“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”

However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.

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I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.

The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.

Hurry Mode Results

On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:

Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.

Mad Max Results

I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.

With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:

As well as adjusting Navigation, when I received two nags:

These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.

These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.

You can watch the full drive on YouTube below:

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Tesla responds to Robotaxi skeptics with a massive move in Austin

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Credit: @AdanGuajardo/X

Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.

The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.

Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:

This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.

It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.

The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.

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Tesla expands Robotaxi geofence, but not the garage

Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.

The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.

It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.

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It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.

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