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How will Tesla Version 8 compare to current Autopilot in the real world?

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Tesla’s upcoming Version 8 software will be the company’s most significant Autopilot upgrade since its October 2014 initial release, but how will these updates compare to current Autopilot behavior in the real world?

This will be the first time the company will switch from using the vehicle’s front-facing camera as the core hardware responsible for visual image recognition, to radar technology which will now become the primary sensor used in creating a virtual picture of the vehicle’s surroundings.

With these improvements, to be rolled out via an over-the-air software update in the coming weeks, Model S equipped with the Autopilot hardware suite and Model X should theoretically be able to handle emergency braking situations with more precision, provide a smoother Traffic Aware Cruise Control (TACC) experience, take highway exits on its own, and provide drivers and passengers with an overall safer experience.

Let’s take a look at each of these features and see how Autopilot in Version 8 will differ from current Version 7 capabilities.

Automatic Emergency Braking

Following the much publicized death of Joshua Brown after his Model S crashed into the side of a tractor trailer while driving on Autopilot, reliability of Autopilot’s Automatic Emergency Braking (AEB) feature was immediately put to question. Tesla released a statement stating that the high, white side of the tractor trailer, combined with a radar signature that would have looked very similar to an overhead sign, caused automatic braking not to fire. “Since January 2016, Autopilot activates automatic emergency braking in response to any interruption of the ground plane in the path of the vehicle that cross-checks against a consistent radar signature,” said Tesla.

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Spy shots taken from the Naval Air Station reveal Tesla was testing and calibrating its AEB system this past summer. But despite the tests which seemingly show a Model S automatically braking in a staged collision event, Tesla has been overly cautious when it comes to activation of its AEB feature. AEB is reliant on imagery received from its front-facing camera, and supplemented by radar input, to decide on the degree of confidence that would trigger a braking event.

Some Tesla owners have even taken it upon themselves to stage scenarios that would seemingly trigger the AEB response of the vehicle, but to no avail leaving further mystery as to how AEB works.

The current Autopilot system under Version 7 is limited in its ability to reliably detect people or pinpoint false positives such as reflective objects that may appear larger than they are. Tesla uses the concave bottom of a soda can as an example. When the radar signal is reflected back from the can’s bottom dish-shaped surface, the reflected signal is amplified to many times its actual size leading the radar to believe there’s a large object before it. Because of that, programming the AEB system to suddenly engage could lead to a dangerous situation so Tesla decided to limit the scenarios that could actually trigger an automatic emergency braking response.

However, Version 8 will combine the power of fleet learning with “radar snapshots” to improve the vehicle’s ability to more accurately depict the circumstances of an event. In other words, we can expect Autopilot under Version 8 to have a much higher degree of confidence when it comes to engaging automatic emergency braking. Tesla CEO Elon Musk believes this set up will provide safety improvements by a factor of three over existing Autopilot.

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Traffic Aware Cruise Control

Tesla-Autopilot-Traffic-Rain

Beyond being able to track a vehicle that’s directly in front of the car, Version 8 of Autopilot will also be able to see the vehicle ahead of that. Tesla describes this update as follows: Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog, but the Tesla will not.

The improvement will lead to smoother braking events when TACC is engaged since Autopilot will no longer solely rely on the actions from the vehicle before it. If a hard braking event happened in front of the vehicle that Autopilot is immediately tracking, Version 8 will be able to identify it and slow the Model S (or Model X) even before the vehicle directly ahead may have applied the brakes.

The following video captures an incident whereby the vehicle being tracked by Version 7 of Autopilot could not see the hard braking event that took place two cars ahead. TACC seemingly did not have enough time to stop the Model S.

Being able to see two cars ahead in Version 8 will provide a smoother TACC experience and increased safety.

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Improved Auto Lane Change and Freeway Exiting

What we’re particularly excited about is the new feature in Version 8.1 that will allow an Autopilot-equipped Model S and Model X to take highway exits using the onboard navigation system.

Currently, Version 7 of Autopilot is capable of handling lane changes when the driver explicitly uses the turn signal stalk. Signaling left and the vehicle will make a left lane change, and vice versa. However with the ability to punch in a destination through Tesla Nav and have the vehicle assist with freeway exiting, assuming that’s part of the route, in our minds, Tesla is taking a critical step towards the ultimate goal of building fully autonomous self-driving vehicles. It’s a small step, but nonetheless it’s a notable step.

Photo credit: Rob M.

Full details of Tesla Version 8 can be found here.

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First Tesla driverless robotaxi spotted in the wild in Austin, TX

The short clip suggests that Tesla may be ramping up its preparations for its robotaxi rollout in Austin.

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Credit: @TerrapinTerpene/X

A recent video posted on X has provided a first look at Tesla’s driverless robotaxi, which is expected to be deployed in Austin, Texas, this month. The vehicle was a new Tesla Model Y, which was followed by what appeared to be a manned chase car.

The short clip suggests that Tesla may be ramping up its preparations for its robotaxi rollout in Austin.

The First Robotaxi Sighting

It was evident from the short clip that the Tesla robotaxi was operating completely driverless. In the video, which was posted on X by @TerrapinTerpene, the driverless Tesla could be seen confidently making a turn. The vehicle looked and behaved like any other car on the road, save for the fact that there was no one in the driver’s seat.

Interestingly enough, the short video also provided a teaser on where Tesla will place its “robotaxi” logo on its self-driving cars. Based on the video, the robotaxis’ logo will be tastefully placed on the front doors, making the vehicles look sleek and clean.

Initial Rollout Imminent

Recent reports have suggested that Tesla is already starting the testing phase of its robotaxi service in Austin, Texas. Expectations are also high that Tesla’s initial fleet of self-driving vehicles will be utilizing a lot of teleoperation to ensure that they operate as safely as possible.

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Updates to Austin’s official website recently have hinted at Tesla’s robotaxi launch. Just this Monday, Tesla was listed as an autonomous vehicle (AV) operator on Austin’s official Department of Motor Vehicles (DMV). Other AV operators listed on the site are Waymo and Zoox, among others.

Elon Musk, for his part, has noted that by the end of June, the public in Austin should be ready to take rides in Tesla robotaxis without an invitation. He also noted in late May that Tesla has been busy testing driverless cars on Austin’s city streets without any incidents.

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Tesla Model Y proudly takes its place as China’s best-selling SUV in May

The Model Y edged out competitors like the BYD Song Plus.

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Credit: Tesla China

The Tesla Model Y claimed its position as China’s best-selling SUV in May, with 24,770 units registered, according to insurance data from China EV DataTracker

The Model Y edged out competitors like the BYD Song Plus, which recorded 24,240 registrations, as well as Geely’s gasoline-powered Xingyue L, which took third place with 21,014 units registered, as noted in Car News China report.

Return To The Top

The Model Y’s return to the top of China’s SUV market follows a second-place finish in April, when it trailed the BYD Song Plus by just 684 units. Tesla China had 19,984 new Model Y registrations in April, while BYD had 20,668 registrations for the Song Plus. 

https://twitter.com/daltybrewer/status/1932171519817621536

For the first five months of 2025, Tesla sold 126,643 Model Ys in China, outpacing the Song Plus at 110,551 units and BYD’s Song Pro at 80,245 units. This is quite impressive as the new Tesla Model Y is still a premium vehicle that is significantly more expensive than a good number of its competitors.

Year-Over-Year Challenges

Despite its SUV crown, Tesla’s year-over-year performance in China is still seeing headwinds. May sales totaled 38,588 units, a 30% year-over-year decline. From January to May, Tesla delivered 201,926 vehicles in China, a 7.8% drop year-over-year. These drops, however, are notably affected by the company’s changeover to the new Model Y in the first quarter.

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https://twitter.com/Tesla/status/1932171187700084910

Exports from Tesla’s Shanghai Gigafactory also fell, with 90,949 vehicles being shipped from January to May 2025. This represents a decline of 33.4% year-over-year, though May exports rose 33% to 23,074 units.

China’s electric vehicle market, meanwhile, showed robust growth. Total NEV sales, which includes battery electric vehicles (BEVs) and plug-in hybrids (PHEVs), reached 1,021,000 units in May, up 28% year-over-year. BEV sales alone hit 607,000 units, a 22.4% increase.

Considering the fact that China’s BEV market is extremely competitive, the Tesla Model Y’s rise to the top of the country’s SUV rankings is extremely impressive.

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Waymo temporarily halts service in select San Francisco and LA areas amid protests

The suspensions came after several Waymo Jaguar I-Pace robotaxis were vandalized and set ablaze during the demonstrations.

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Credit: ABC7/YouTube

Waymo, Alphabet’s autonomous vehicle subsidiary, has suspended its driverless taxi operations in parts of Los Angeles and San Francisco amid violent protests linked to U.S. Immigration and Customs Enforcement (ICE) raids in the state. 

The suspensions came after several Waymo Jaguar I-Pace robotaxis were vandalized and set ablaze during the demonstrations.

Waymo Catches Strays Amid Anti-ICE Protests

Protests erupted in Los Angeles and San Francisco in response to the Trump administration’s immigration raids, which ultimately resulted in California Governor Gavin Newsom calling the White House’s deployment of National Guard troops unconstitutional. 

Amidst the protests, images and videos emerged showing several Waymo robotaxis being defaced and destroyed. At least five Waymo robotaxis ended up being caught in the crossfire, and at least one vehicle ended up being burned to the ground. 

The incident resulted in the Los Angeles Police Department advising people to avoid downtown areas due to toxic fumes from the robotaxis’ burning lithium-ion batteries. As noted in a KRON4 report, Waymo ultimately halted service in affected areas “out of an abundance of caution.”

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Robotaxi Sentiments

The cost of the attacks is notable. Each Waymo robotaxi is valued between $150,000 and $200,000, per a 2024 Wall Street Journal report. Interestingly enough, this is not the first time that Waymo’s robotaxis ended up on the receiving end of angry protesters. On February 24, a Jaguar I-PACE robotaxi was set ablaze and vandalized by a crowd in San Francisco. Videos taken at the time showed a mob of people attacking the vehicle. 

Despite the recent attacks on its robotaxis, Waymo has stated it has “no reason to believe” its vehicles were specifically targeted during the protests, as per a report from The Washington Post. A company spokesperson also noted that some of the Waymo robotaxis that were defaced and destroyed during the violent demonstrations had been completing drop-offs near the protest zones.

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