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Tesla modules retrieved by NTSB could reveal clues on fatal Model X crash
NTSB investigators looking into the fatal Tesla Model X crash have retrieved the ill-fated SUV’s restraint control module and infotainment module from the wreckage of the vehicle.
Photographs of the ongoing NTSB investigation have been shared online by ABC7 News photographer Dean C. Smith. The series of pictures depicts a team of investigators from both the NTSB and the CHP’s Multidisciplinary Accident Investigation Team inspecting the wrecked Tesla. Smith was also able to photograph a module from the electric SUV being placed inside an evidence bag.
The NTSB later confirmed to the local news agency that the investigators were able to recover two components of the destroyed Model X — the vehicle’s restraint control module and its infotainment module. NTSB Spokesman Christopher O’Neil noted that the NTSB would be working with Tesla and the CHP in analyzing the data stored in the two devices.
“We’re going to work with CHP and Tesla to download the information from those modules and then see what data is available to us that might give insights into what was going on during the accident sequence,” O’Neil said.
Images of the continuing investigation from the NTSB and CHP could be viewed below.
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- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
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- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
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- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
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- The NTSB’s investigation into a fatal Tesla Model X crash continues. [Credit: Dean C. Smith/Twitter]
Will Huang, the brother of the ill-fated electric SUV’s driver, has also shared some of his insights about the crash in a statement to ABC7. According to Will, his brother had brought the car to the Tesla service center before the accident due to what he believes were issues with the Model X’s Autopilot. Tesla has noted, however, that the owner of the Model X had taken the vehicle to the service center because of concerns about the SUV’s navigation, not its Autopilot, according to the local news agency.
“We’ve been doing a thorough search of our service records, and we cannot find anything suggesting that the customer ever complained to Tesla about the performance of Autopilot. There was a concern raised once about navigation not working correctly, but Autopilot’s performance is unrelated to navigation,” Tesla reportedly stated.
In a statement to the local news agency, Will Huang noted that a crash attenuator could have likely saved his brother’s life. Crash attenuators, better known as crash cushions, are designed to absorb the impact of a vehicle’s collision. As noted by Tesla in its blog post yesterday, however, a huge part of the crash cushion on the spot where the Model X met its end had been removed due to a previous collision.
“That (the crash attenuator) ultimately should’ve saved my brother’s life. We’ve seen videos of similar crash(es) with cushion, and the driver walked out of it unharmed,” Huang noted.
In a recent announcement on its Twitter account, CHP Redwood City revealed that the last collision recorded at the same location as the ill-fated Model X crash happened on March 12, 2018, 11 days before the Tesla’s accident.
Update on #Tesla collision: Per media request, the last collision recorded at that same location took place on Monday 3/12/2018 at 2230 hours. pic.twitter.com/ibizNYWOkk
— CHP Redwood City (@CHP_RedwoodCity) March 29, 2018
The Tesla Model X has a 5-star safety rating from the National Highway Traffic Safety Administration (NHTSA). The electric SUV is equipped with 12 airbags — head and knee airbags in the front, 2 side curtain airbags, 4 seat-mounted side airbags, and 2 door-mounted airbags — which cocoon a driver and the vehicle’s passengers during an accident. As we reported last December, a Model X successfully protected its driver after getting into an accident with a car traveling at near-highway speeds. During that incident, all the Model X’s airbags deployed, and the driver was able to walk away from the collision unharmed.
Tesla has expanded the operational geofence for its driverless Robotaxi service in Austin, Texas, marking the first such increase in some time. The updated Service Area for Robotaxi in Austin now spans about 288 square miles and is roughly 9 percent larger than the previous boundary.
This incremental growth adds approximately 24 square miles of coverage, bringing the prior zone of roughly 264 square miles into a broader footprint that better serves northern suburbs.
The expansion extends the geofence northward toward Pflugerville along the US 183 corridor, incorporating additional neighborhoods north of the Domain and areas such as Mesa Park. These additions include higher-end residential and commercial districts that previously sat just outside the allowed operating zone.
Riders can now request unsupervised trips that begin or end in these newly included locations, provided the entire route remains inside the digital boundary:
Tesla has just expanded its Robotaxi service area in Austin, Texas for the first time in 10 months.
The new service area is roughly 9% larger than the old one, and is about 288 square miles in total. pic.twitter.com/i4oBM1KfWS
— Sawyer Merritt (@SawyerMerritt) August 31, 2026
Tesla first launched public Robotaxi operations in Austin in mid-2025 with a modest initial zone of about 20 square miles. Subsequent enlargements in 2025 and early 2026 steadily grew the map until it covered much of the metropolitan area.
After the last major update roughly ten months earlier, the company held the boundary steady while it collected additional miles and refined the FSD suite.
The modest nine percent increase still matters for daily utility. Longer trips become possible, more residents gain access, and the fleet can accumulate more diverse real-world data across new road types and traffic patterns. Observers note that the added territory aligns with existing Tesla service infrastructure, which could support more efficient vehicle staging in the North end of Austin.
Although the geofence has grown, Tesla continues to operate a relatively small unsupervised fleet in the city. The company has emphasized safety and software readiness over rapid geographic scaling. This latest map update signals that Tesla remains committed to expanding Robotaxi availability in its home market as it prepares for further software improvements and potential Cybercab deployments.
The 288-square-mile zone now gives Austin riders one of the larger driverless service areas currently available in the United States.
Tesla’s 2026 Summer Update turns Grok from a talking companion into a true in-car controller, with considerably expanded capabilities. Where the assistant once answered questions and handled navigation, it can now operate hardware and software through ordinary speech, including several requests at the same time.
Grok has become incredibly robust over the past few quarters, and this new ability that Tesla has included with its Summer Update is perhaps the clearest sign of just how capable it has become.
You can issue many commands to Grok at once, and each will be taken care of: anything from headlight control to climate adjustments to mirror folding can now all be taken care of with a simple sentence spoken toward Grok:
This is cool, you can now give Grok a ton of commands at once in your Tesla and it’ll do them all together.
The commands I gave:
• Fold mirrors
• Turn on wipers to fastest setting
• Change temp to 65°
• Open self-driving app
• Open gloveboxComes with Tesla’s 2026 Summer… pic.twitter.com/drZxoHrknv
— Sawyer Merritt (@SawyerMerritt) August 26, 2026
Here’s another example I used in my Model Y:
🚨 Using Grok to control the cabin temperature and turn on headlights in 2026 Model Y on FSD v14.3.8 and 2026.26.6.5 pic.twitter.com/7clgQkGABk
— TESLARATI (@Teslarati) August 27, 2026
Tesla’s official Release Notes list the core powers of Grok’s new capabilities: Grok can place phone calls from a paired phone, search a streaming service and queue music, adjust climate, and search the Controls panel. Drivers can also ask it questions about the vehicle or the latest features included in a recent software update.
It can also take care of driving settings, dynamics, and other relevant preferences that deal with how the car operates and handles.
Tesla Summer Update begins rolling out: a look at the new features
It’s also more of a use case than a novelty feature. Grok was great for learning about something that was being pondered while Full Self-Driving was taking care of the major automotive responsibilities, but it did have some useful functionality when it came to navigation.
Another less-noted improvement is the swift transition that Grok has from thinking of its answer to giving you one. In the past, it would take a few seconds for Grok to truly come up with a valuable response. It now seems that it is improving, at least slightly.
Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.
Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.
Tesla Cybercab uses a unique strategy for picking up the right rider
Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”
Coming soon
— Elon Musk (@elonmusk) August 31, 2026
Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.
Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.
Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.
In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.
Tesla to utilize micro maps for pothole-detection in future update
Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.
That truly begins this week with the launch of Cybercab on Thursday.
Tesla expands driverless Robotaxi geofence in Austin
Elon Musk’s Grok can basically control anything in your Tesla now
