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NIO ET7 audio system reveals how important software will be in future vehicles [Editorial]
NIO went the extra mile—and then some—when it conceptualized the audio system for the ET7. The NIO ET7 has 23 speakers powered by Swedish digital audio pioneer Dirac’s Opteo Professional audio software and Dolby Atmos technology.
NIO and Dirac’s work on the ET7’s audio system reveals the changing design of the car’s cabin and the role software plays in its redesign.
The NIO ET7’s Sound
Every automaker has a specific sound they would like their passengers to enjoy in their vehicles. NIO also has a particular sound target, and for the ET7, the Chinese automaker wanted it to come through crystal clear.
NIO worked closely with Dirac to create its sound. The NIO ET7’s official online page states that the four-seater car has 23 speakers, four overhead speakers, and a subwoofer. It also has a 20-channel amplifier and comes standard with Dolby Atmos Technology.
NIO didn’t just add lots of speakers to the ET7, though. The China-based automaker together with Dirac were meticulous and intentional with the ET7’s audio system.
Redefining the Cabin
Audio experts must consider the environment the sound will be played in, making it challenging to work with vehicles. Lars Carlsson, the Head of Business Development Automotive Audio and Vice President at Dirac, told Teslarati that audio experts have to consider many things when creating the perfect sound inside a vehicle. They have to consider the number and position of the speakers and the number of seats in the vehicle. Audio experts must also consider how sound reflects on the cabin’s different surfaces and windows.
Each speaker output in the NIO ET7 was measured with 16 microphones, positioned in each seat for a total of 64 measurement positions in the cabin. The measured data gave Dirac a good overview of the acoustic performance of the car’s cabin and creates the base for Dirac’s patented algorithms to optimize the sound.
“We base everything on measurements and data. Our process really saves audio engineers a lot of time. They can tune on their computer instead of spending weeks in the car,” Carlsson said.
After measuring the cabin, Dirac used algorithms to “derive the optimum solution” for its sound field control technology. With sound field control, Dirac created “super speakers” for the ET7. Typically, there are three speakers in a car door: low frequency, mid-range frequency, and a tweeter for the high frequency. Dirac uses sound field control to digitally align the speakers, making them collaborate to realize one full, quality sound.
“In addition our algorithm lets the speakers in the cabin and the subwoofer collaborate to create an even sound field in the car, which means we can actually create an equal audio experience in every seat. You get the voice right in front of you and a good imaging and a very even bass distribution and tight bass,” explained Carlsson.
Software’s Critical Role in Future Vehicles
Software is playing an increasingly important role in the auto industry as automotive OEMs and startups reconceptualize the idea of the vehicle. Now, automakers are reimagining the use of the car cabin as more vehicles integrate autonomous software.
Software lies at the center of redesigning the cabin space for passenger activities. Many automakers have started investing in software for their vehicles. For instance, Volkswagen invested €2 billion in a joint venture with China-based Horizon Robotics. And Stellantis launched a software development center in India recently.
Audio, in particular, is beginning to play a more significant role in the cabin as automakers introduce more types of media for passengers to enjoy while on the road. Electric cars coming out on the market have fun new features now, like karaoke, videos, games, and more which rely heavily on audio systems. However, it is autonomy that drives the cabin’s redesign.
“We have an enormous interest for our solutions because audio is getting more and more important in the car. This is true for electric cars because it’s a quieter environment but also when looking into autonomous cars, where maybe you’ll be working in your car, you’ll be listening to music, you’ll be watching videos, you’ll have maybe rotating seats,” said Carlsson.
“There’s a lot of challenges also coming ahead, but I would say that Dirac is very well equipped for future challenges because software for anything in the cars is key,” he added.
The Teslarati team would appreciate hearing from you. If you have any tips, contact me at maria@teslarati.com or via Twitter @Writer_01001101.
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
