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