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Driver-assistance tech seen as annoyance by many non-Tesla drivers

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Automakers have been adding driver assistance features to new vehicles for years now, especially with the industry gearing towards self-driving technology. However, a recent J.D. Power 2019 U.S. Tech Experience Index (TXI) Study has found that many drivers see them as “nannying” annoyances and often opt to turn them off. While it doesn’t look like Tesla’s all-electric vehicles were included in the study, the results draw an interesting contrast between Autopilot and other manufacturers’ approach to similar technology.

“Automakers are spending lots of money on advanced technology development, but the constant alerts can confuse and frustrate drivers,” explained Kristin Kolodge, Executive Director of Driver Interaction & Human Machine Interface Research at J.D. Power, as quoted in the study’s summary. “The technology can’t come across as a nagging parent; no one wants to be constantly told they aren’t driving correctly.”

When it comes to lane-keeping and centering systems in particular, an average of 23% of customers with these systems complained that the alerts are annoying or bothersome. Of this group, around 61% frequently choose to disable the features. Even more telling is that out of six categories of vehicle features rated by the study, driving assistance was scored second lowest in measured owner experiences. The other categories were collision protection, smartphone mirroring, comfort and convenience, entertainment and connectivity, and navigation. The study overall was focused on owner experiences, usage, and interaction with 38 driver-centric vehicle technologies at 90 days of ownership.

Image: J.D. Power 2019 U.S. Tech Experience Index (TXI) Study results.

The Kia Stinger scored the highest in all categories out of the vehicles rated by J.D. Power. On a 1,000-point scale, it averaged 834, the overall average being 781 and the lowest-scoring model coming in at 709. The Korean auto maker’s compact luxury sedan has a full suite of active safety features including adaptive cruise control, automatic emergency braking, blind spot warning, rear cross-traffic alert, lane keeping assist, pedestrian detection, and a driver attention alert.

Since owner satisfaction is directly tied to future purchases and customer recommendations, the findings in the J.D. Power study are significant. “When overall satisfaction is greater than 900, 75% “definitely will” repurchase the same make again and 95% “definitely will” recommend it. Automakers looking to drive loyalty need to provide a highly satisfying tech usage experience,” the summary concluded. With this in mind alongside self-driving developments, it’s especially important for owners to find value in their driver assistance features if manufacturers hope to win consumer confidence as features progress.

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“Consumers are still very concerned about cars being able to drive themselves, and they want more information about these complex systems, as well as more channels to learn how to use them or how and why they kick in,” Kolodge commented on the findings. “If they can’t be sold on lane-keeping—a core technology of self-driving—how are they going to accept fully automated vehicles? …It’s essential that the industry recognize the importance of an owner’s first experience with these lower-level automated technologies because this will help determine the future of adoption of fully automated vehicles.”

Tesla’s warning system indicating that the driver needs to take control. (Photo: AutoPilot Review/YouTube)

Tesla’s Autopilot is perhaps becoming one of the most well-known driver assist features offered by an auto company today, and it’s primarily due to high owner satisfaction. Owners frequently report their positive experiences with the feature’s traffic capabilities, and numerous videos and stories have been shared about how preventative measures taken by Autopilot have prevented serious traffic incidences. What’s more, Tesla’s own safety data validates these owner findings on a macroscale and has led the company to make some functions available even without the Full Self-Driving suite.

In May, Tesla introduced two new active lane monitoring features designed to help prevent drivers from unintentionally leaving their lane of travel named ‘Lane Departure Avoidance’ and ‘Emergency Lane Departure Avoidance.’ They are derived from Autopilot, yet work while it’s not on. The Lane Departure Avoidance applies corrective steering to keep drivers in their intended travel lane if a departure is sensed without a turn signal. Emergency Lane Departure Avoidance is automatically enabled and is designed to return a Tesla vehicle back to its original lane if a departure and an imminent collision are detected, rather than simply alerting drivers of the situation. “As our quarterly safety reports have shown, drivers using Autopilot register fewer accidents per mile than those driving without it,” Tesla’s press release on the lane-oriented features stated.

Lane-keeping technologies may not be big sellers for legacy auto companies, but Tesla is clearly making very good headway with those features.

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Tesla faces Full Self-Driving pushback in EU over ‘speeding’

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Credit: Tesla

A new report from Reuters claims that a transport authority in Sweden is pushing back against the approval of Tesla’s Full Self-Driving suite because it will travel over speed limits.

The report says the Swedish Transport Administration (TRV) recommends the European Union votes against FSD’s approval. TRV believes it should not be approved until Tesla disables FSD’s ability to speed.

TRV sent a letter to the European Union’s Technical Committee on Motor Vehicles (TCMV), which is set to meet on June 30 to discuss the potential approval of the Tesla FSD suite in the country. Tesla, which has received various approvals in Europe over the past two months, has not provided a comment.

Tesla Full Self-Driving gets first-ever European approval

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Teslas operating on FSD do travel over the speed limit, depending on the Speed Profile that is chosen. Drivers have the ability to disengage FSD at any point; Tesla specifically states that those supervising the suite are responsible for its actions.

Let’s cut to the chase: humans operating any vehicle speed almost daily in the United States. Realistically, speed limits in the U.S. are more frequently treated as speed minimums. However, other countries are different, and driving behaviors are less aggressive.

TRV believes that “allowing automated systems to systematically exceed legal speed limits…risks undermining both the legal framework and the expected safety benefits of ​vehicle automation,” the report stated. It’s surprising that Tesla has not received this claim from other countries previously.

This could be a good argument to bring Max Speed back, the setting that previously allowed the driver to choose the absolute fastest the car would travel.

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This would still put the responsibility of supervision in the hands of the driver. It would allow the driver to choose whether the car would travel over the speed limit or not, acknowledging that they set the speed, and if they get pulled over, there would be no ability to argue it.

However, it does not seem as if this is something Tesla will do, especially considering many U.S. drivers have requested the feature in an effort to eliminate speeding or at least tone it down. The company has not shown any interest in bringing it back.

Tesla has approvals for FSD in Europe in Estonia, Lithuania, Denmark, the Netherlands, and Belgium.

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Tesla teases greater Grok FSD integration and ‘Banish’ feature ‘in about 3 months’

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Credit: Tesla

Tesla is going to let you guide Full Self-Driving with Grok in 3 months, CEO Elon Musk confirmed on X.

The response from Musk, which revealed Tesla plans to allow drivers to effectively control the car and its navigation more explicitly using Grok, puts the feature for about September.

A Tesla owner said that Full Self-Driving is great, but owners should be able to “converse with Grok like we can with an Uber driver.” She then used examples like, “Grok, turn right here,” and “Drop us off right here, we’ll walk due to traffic,” and finally,” Drop at entrance first, then park far away.”

Coincidentally, the final piece of dialogue would also mean features like Banish are potentially on the way soon.

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Banish is also referred to as “Reverse Summon,” and would enable the car to self-park while dropping occupants off at their destination.

This would be a great way to improve the overall experience while supervising FSD. Navigation is already a major painpoint that many owners complain about. Manual overrides when a maneuver is requested or canceled (like using the turn signal stalk to override a navigation route), do not always work.

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The feature could be especially useful in street parking scenarios in a city, where spots are sometimes tough to come by. Many of us who grab dinner in a more populated area will park a street or two over from wherever we’re going, because sometimes you know that’s the best you will get. If a driver using FSD could say, “Hey Grok, turn right here on Queen St. and park in that open spot on the right,” it could save a lot of confusion FSD might have on its own.

Musk teased that a similar feature was “coming” back in February:

Tesla Full Self-Driving set to get an awesome new feature, Elon Musk says

It is certainly surprising that Tesla is doing it at this point. The company’s more recent moves have been more evident of taking control and inputs away from humans and putting them in the AI’s hands more frequently. The biggest example of this was taking away Max Speed in AI4 cars, giving us Speed Profiles, and not having any input on the fastest speed the car will travel.

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Of course, giving navigation preferences to Grok is availble already in Teslas, but not at the drop of a hat. Instead, you can suggest a certain route at the beginning of your drive.

Here’s an example of that from December:

Finally, the original post that Musk responded to mentioned a parking preference after dropping off the occupants, which describes the Banish feature that Tesla has teased for years.

We’re not sure if Musk was responding more to the ability to guide the car with Grok, or whether he also was including Banish in the three-month prediction timeframe.

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Tesla Cybercab has one important piece that AI4 cars might need for FSD

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Credit: @tpgoebel | X

A close-up image of a Cybercab engineering vehicle in Peabody, Massachusetts, reveals a compact triangular side repeater camera housing equipped with an integrated washer mechanism.

This seemingly small hardware addition could prove to be one of the most critical components for achieving reliable, unsupervised Full Self-Driving (FSD) — not just for the dedicated Robotaxi but potentially for existing AI4-equipped vehicles as well.

The washer system’s importance cannot be overstated in Tesla’s vision-only autonomy approach. Cameras are the sole sensory input for the neural networks powering FSD, constantly interpreting the environment for safe navigation. In real-world conditions, however, lenses quickly accumulate rain, snow, mud, dust, or road spray.

Many of us Tesla owners, especially those who deal with any sort of winter weather at all, know the all-too-common alert that pops up when cameras are obstructed:

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Even brief obstructions can drop perception confidence, trigger safety disengagements, or force the vehicle to pull over, although these are relatively rare. Instead, most of the time, the camera will need a wipe from the owner next time they stop the car.

But unlike human drivers who can manually clear their view, a Robotaxi operating 24/7 without a steering wheel or mirrors must maintain pristine vision autonomously. The Cybercab’s side repeater washer delivers targeted cleaning bursts precisely where needed for merging, lane changes, and blind-spot monitoring — functions that demand uninterrupted visibility from the external cameras:

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This hardware directly tackles a known pain point in current FSD deployments. Owners frequently report camera-related alerts during inclement weather, which is understandable, but needs to be solved for a true autonomous experience.

For a production Robotaxi fleet aiming for high utilization and minimal downtime, robust washer systems represent a foundational reliability upgrade; essentially, they’re a must-have. Early sightings suggest the design may extend to rear cameras as well, creating a comprehensive cleaning architecture that keeps the entire vision suite operational in harsh environments.

Without it, even the most advanced neural nets struggle when their “eyes” are compromised.

What Does This Mean for AI4 Cars?

This Cybercab detail raises timely questions for AI4 cars already on the road. While Hardware 4 delivers superior compute and camera resolution compared to earlier versions, production models typically lack dedicated side and rear washers. Tesla has included them on Model Y robotaxis that it is using in the fleet:

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Tesla Robotaxi has a highly-requested hardware feature not available on typical Model Ys

As Tesla refines unsupervised FSD for broader release, the gap in environmental resilience becomes evident. Software improvements can help mitigate issues, but they cannot fully replace physical cleaning in heavy rain or muddy conditions. Analysts and owners increasingly speculate that AI4 vehicles may eventually require similar washer retrofits — or a future AI4.5 variant — to match the Cybercab’s all-weather readiness and support the same level of autonomy.

As testing progresses, the Cybercab’s washer mechanism highlights Tesla’s pragmatic focus on real-world robustness. It may well become the hardware piece that determines how quickly and reliably FSD scales from prototypes to everyday vehicles.

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