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Tesla Model 3 gets penalized in Europe despite top scores in vehicle assistance and safety
In collaboration with Thatcham Research, the Euro NCAP has launched the world’s first Assisted Driving Grading system, a new set of metrics that are specifically designed to evaluate the driver-assist systems of cars available on the market today. For its first batch of vehicles, the firms evaluated 10 cars, from premium SUVs like the Mercedes-Benz GLE to affordable hatchbacks like the Renault Clio to all-electric vehicles like the Tesla Model 3.
As noted by Thatcham Research Director of Insurance Research Matthew Avery in a video outlining the results of the Assisted Driving Grading system’s first tests, vehicles would be graded on three metrics: the level of vehicle assistance that they provide, the level of driver engagement that they offer, and the effectiveness of their safety backup systems. The results of these tests, especially on the Tesla Model 3’s part, were rather peculiar, to say the least.
Out of 10 vehicles that were evaluated, the Tesla Model 3 ranked 6th with a “Moderate” grade, falling behind the Mercedes-Benz GLE, BMW 3-Series, and Audi Q8, which were graded as “Very Good,” and the Ford Kuga, which received a “Good” rating. This was despite the Tesla Model 3 receiving the top scores in the “Vehicle Assistance” and “Safety Backup” metrics.
The study, for example, dubbed the Model 3 as outstanding in terms of steering assistance, with the vehicle steering itself exceptionally well through an S-shaped curve at speeds of 80, 100, and 120 km/h. Tesla’s lane change systems were also satisfactory, despite the system’s limitations in Europe. Distance control was dominated by the Model 3 as well, with the evaluators stating that Tesla’s adaptive cruise control featured a “high level of technical maturity.” From a score of 100, Tesla’s vehicle assistance received a score of 87, the highest among the cars tested.
The Model 3’s safety backup systems were also a league above its competition. As noted in a post from the Allgemeiner Deutscher Automobil-Club e.V. (ADAC), Tesla demonstrated its strengths with the Model 3’s collision avoidance systems. The all-electric sedan earned a perfect score in the firms’ tests, outperforming its premium German competition. Overall, the Model 3 received an impressive score of 95 in the Assisted Driving Grading system’s “Safety Backup” metric.
Considering these scores, one might wonder why the Model 3 ended up ranked 6th among the 10 vehicles tested by the Euro NCAP and Thatcham Research. As it turned out, this was because of the Model 3’s poor scores in the “Driver Engagement” metric, where the vehicle only earned a score of 35 out of 100. So poor was the Model 3’s scores in this metric that it was ranked last among the 10 vehicles that were evaluated.
A look at the reasons behind the Model 3’s poor scores in “Driver Engagement” includes a number of interesting insights from Thatcham Research and the Euro NCAP. When testing the vehicles’ steering override functions, for example, the evaluators stated that the Model 3 resisted steering overrides from its driver. These issues were explained in the ADAC’s post.
“Should the driver make a steering movement in order to avoid an object or a pothole in the roadway, the steering assistant should allow this without resistance. In the Tesla Model 3, for example, this is not the case. Apparently, Tesla trusts the system more than its driver. The necessary cooperative assistance is not given. Instead, the Tesla system prevents its driver from attempting to intervene – it mustn’t be,” the ADAC remarked in its post.
Even more interesting is that part of the Model 3’s poor “Driver Engagement” scores was due to the term “Autopilot,” which Tesla uses to describe its driver-assist suite. The evaluators argued that the term “Autopilot” was misleading and irresponsible on Tesla’s part, and this was heavily taken against the Model 3’s rankings in the Assisted Driving Grading system.
“When it comes to the first test criterion – consumer information – the Tesla Model 3 in particular fails. The assistance systems are referred to as “Autopilot” in the operating instructions for the Model 3 as well as in the sales brochures and in marketing. However, the term suggests capabilities that the system does not have in sufficient measure. It tempts the driver to rely on the capabilities of the system – which is currently not allowed by the legislature anyway. Due to its good quick-start operating aid, the Tesla Model 3 still receives 10 points,” the evaluators noted.
Ultimately, these complaints about Autopilot’s branding ended up pulling down the Model 3’s scores to the point where the all-electric sedan was ranked below the Ford Kuga. Thatcham Research Director of Insurance Research Matthew Avery explained this in a video released about the evaluation. “The Tesla Model 3 was the best for safety backup and vehicle assistance but lost ground for misleading consumers about the capability of its Autopilot system and actively discouraging drivers from engaging when behind the wheel,” Avery said.
As noted by Avery, it is pertinent for vehicles to exhibit a balance to score very well in the Assisted Driving Grading system. This was not achieved by the Model 3 despite its industry-leading backup safety systems and actual vehicle assistance tech. ADAC explained it best when outlining why the Tesla Model 3 lost to four other vehicles despite being equipped with what is noticeably the most advanced driver-assist system.
“When analyzing the test results, it is noticeable that the Tesla Model 3 has the most advanced assistance systems. With 95 points for emergency assistance (Safety Backup) and 91 points for technical assistance, it doesn’t beat the Mercedes GLE by far, but at least 11 points… Because Euro NCAP removes the many points in the area of driver support from the Tesla, because on the one hand it does not sufficiently comply with the driver’s request for a steering correction. On the other hand, because Tesla is irresponsible about the term autopilot – an even more serious reason. With only 36 points from the test area driver integration, the Tesla falls back to sixth place in the final bill,” the ADAC noted.
Thatcham Research’s overall findings could be viewed in the video below.
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
