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GM buys LIDAR company for self-driving car program to take Tesla head-on
General Motors issued a press release on Monday announcing that it will acquire Strobe, a California-based technology startup that makes affordable chip-scale LIDAR technology for self-driving cars. An 11-person team from Strobe will be joining GM’s Cruise Automation unit as part of the acquisition.
With more affordable and higher accuracy LIDAR sensors coming to market, automakers that are looking to transition to all-electric fleets are assessing the strategic value with investing into self-driving technology. GM’s purchase of Strobe can be seen as just that. Acquiring a small and nimble startup that has a core focus on developing the key sensor used in autonomous vehicles allows the Detroit-based auto giant to speed its path to market with a self-driving car.
Kyle Vogt, GM’s Cruise Automation Founder and CEO, said through a press release, “Strobe’s LIDAR technology will significantly improve the cost and capabilities of our vehicles so that we can more quickly accomplish our mission to deploy driverless vehicles at scale.”
While GM continues to charge forward with implementing LIDAR technology into its self-driving program, the company also complements its technology with radar sensors to create a fault-tolerant sensing suite. Tesla CEO Elon Musk has famously touted LIDAR as ‘unnecessary’ in the context of an autonomous car due to its high cost. Instead, Tesla has opted to use a combination of cameras, radars and ultrasonic sensors to form the foundation for its Autopilot system. But as pricing for LIDAR technology continues to drop, could we see a change of core design in future versions of Autopilot?
Good thing about radar is that, unlike lidar (which is visible wavelength), it can see through rain, snow, fog and dust
— Elon Musk (@elonmusk) July 15, 2016
Vogt asserts that radar can operate under more challenging weather conditions, however it lacks the precision needed when making critical maneuvers at speed. “Strobe’s LIDAR sensors provide both accurate distance and velocity information, which can be checked against similar information from a RADAR sensor for redundancy. RADARs typically also provide distance and velocity information and operate under more challenging weather conditions, but they lack the angular resolution needed to make certain critical maneuvers at speed. When used together, cameras, LIDARs, and RADARs can complement each other to create a robust and fault-tolerant sensing suite that operates in a wide range of environmental and lighting conditions.” said Vogt in a blog post on Medium.
LIDAR on the other hand uses laser or concentrated light to map a high resolution 3D view of a the world, which arguably provides a higher precision view of a self-driving car’s surroundings. GM’s Director of autonomous vehicle integration has recently spoken up against Musk’s narrative that Tesla Autopilot will be fully autonomous and capable of piloting a car from California to New York on its own by the end of the year.
“The level of technology and knowing what it takes to do the mission, to say you can be a full level five with just cameras and radars is not physically possible,” said Miller about Tesla’s Autopilot suite. “Could you do it with what’s in a current Tesla Model S? I don’t think so.”
As the race to produce a fully autonomous car continues to heat up between Tesla, GM, Uber, and Google, and hardware prices decline, it’s only a matter of time before a tried and true combination of hardware will become the de-facto self-driving hardware suite. What will it be?
Tesla revealed plans to develop its own maps internally to fix Navigation issues and give owners more control over their routing.
On the company’s Q3 2026 Earnings Call, a question was asked about FSD Navigation issues, particularly speed limit recognition, parking, and routing. These are issues that surface from version to version and seem to be seriously challenging for Tesla’s AI team to resolve.
Tesla’s Head of AI, Ashok Elluswamy, said in response to the question:
“You’re totally right that we shouldn’t be depending on external people’s maps. So we are building our own maps, but not like the same way as OneMoreMap. We are building an entirely new architecture with essentially AI-based mapping and navigation.”
He continued:
“It’s going to be super awesome. It’s going to be integrated with voice. You can talk to it, ask for different routes. It’s going to learn your personalized preferences, plus the fleet preferences. The collective intelligence of all the cars is going to flow into making the maps and navigation super cool.”
Elluswamy said this issue should be confronted, and the mapping should be available for people by the time the v15 release starts deploying to customers.
“And over the next several months,” he added, “it’s just going to take over all of the navigation functions, parking, destination handling. And it will know you better than you know yourself in some regard for the driving task, and then handle it fully.”
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Navigation is perhaps the most notable complaint with FSD, and although it has gotten better, it is still flawed. Much of the time, FSD will take people on routes that are not preferred by the driver, but Tesla tried to combat this with a routing feature in the Summer 2026 Update.
Tesla currently relies on Google for map data, but it is sort of counterintuitive to believe the company would rely on a third party for this. These improvements will be welcome, as routing and navigation have been such a pain point for so many owners for so long.
Quotes via Motley Fool
Tesla Full Self-Driving (Supervised) showed a record attach rate at delivery for new vehicles in the third quarter of 2026.
75 percent of new vehicle deliveries in North America included a subscription to FSD software, up from 55 percent in the prior quarter, a 20-percentage-point sequential gain in the company’s most mature market.
Tesla Q3 2026 Earnings results: in-line revenues, slight beat on EPS
Tesla shed light on the Q3 Shareholder Deck that 75 percent of new deliveries came with an FSD subscription:
“FSD (Supervised)⁴ attach rate continued to grow, reaching over 75% of new vehicle deliveries in North America – our most mature market – a nearly twenty percentage point sequential increase. We believe that FSD is driving demand in markets where it is available, and we continue to work with regulators to get it approved in other markets. “
The higher attach rate accompanied strong growth in the overall FSD consumer base, as active subscriptions rose to 1.75 million, a 67 percent year-over-year increase. For the first time, more than half of paid customers are on the monthly subscription, which is priced at $99 per month in the U.S.
People are buying FSD with a car attached, not the other way around
— Elon Musk (@elonmusk) October 21, 2026
The transition to subscriptions has accelerated since Tesla discontinued the one-time purchase option in most markets earlier this year. The recurring model improves revenue visibility and margins compared with large upfront payments. With three-quarters of North American deliveries now including FSD, the software is now an evidently large contributor to Tesla’s economics and ancillary revenue.
Geographic expansion remains important for further gains. FSD is now available in nine countries in the EU, and more than 100,000 customers have driven over 160 million kilometers. Tesla is pursuing broader EU-wide approval, with a related vote expected in December. Similar progress in additional markets could support higher attach rates beyond North America.
These results came as Tesla had a strong quarterly delivery performance of 486,532 vehicles in the quarter, which came with its largest passenger-vehicle backlog in four years. Battery supply continued to limit volume, but the company has pointed to FSD as a clear difference-maker that is helping sustain demand. As supervised capabilities improve, the attach rate will likely continue to improve.
At face value, it is a key measure of how Tesla is converting sales into autonomy progress.
Update: 10/22 10:51a – Para 1 consumers changed to “customers” for accuracy.
Tesla Cybercab units finally got a definitive date for when they will be able to be purchased by customers, ending speculation regarding whether the fully autonomous vehicle would be available in the near term.
During Tesla’s third-quarter 2026 earnings call on October 21, Vice President of Engineering Lars Moravy said the company is aiming to begin delivering its purpose-built Cybercab robotaxi to customers before year-end.
🚨 In short, Cybercabs are slated to go to customers by end of the year. All units are going into Robotaxi fleet currently, per @larsmoravy
Cybercab will be “transport-as-a-service,” but vast majority of Cybercab will be “Tesla-owned,” @elonmusk says https://t.co/R8Qu8QWdmp
— TESLARATI (@Teslarati) October 21, 2026
“We’re trying to get Cybercabs to customers by the end of this year, 2026,” Moravy said. He added that production is underway on the line at Gigafactory Texas, but “all of those are currently going to our own internal Robotaxi fleet.”
Moravy explained that as operations scale, Tesla will “mainly deliver fully designed autonomous vehicles to our customers,” with the Cybercab as the first such vehicle. Initial customer deliveries will start small while the company gains experience with delivery logistics, ownership models, fleet management, and operating autonomous vehicles outside its direct control.
CEO Elon Musk reinforced the limited nature of private sales, describing the Cybercab primarily as a “transport-as-a-service” offering rather than a personal ownership vehicle like the Model 3, Model Y, or upcoming Roadster. “The vast majority of the Cybercab stuff will be Tesla-owned and transport-as-a-service,” Musk said.
The Cybercab is a two-seater vehicle developed by Tesla without a steering wheel or pedals. It relies completely on Tesla’s Full Self-Driving suite and has been in production since February. Early units have been put in Tesla’s Robotaxi service as of early September, when the company launched rides to the public. Tesla previously indicated it would aim to sell Cybercabs for about $30,000.
Unsupervised Full Self-Driving is expected to ship to consumer cars during Q2 2027, Ashok Elluswamy, Tesla’s Head of AI, indicated during the call. Early buyers or fleet operators may receive vehicles whose autonomous operation remains geographically restricted due to lagging regulatory agencies. There are some hurdles that remain ahead of Cybercab deliveries.
Tesla is building its own maps to fix Navigation issues
Tesla buyers are buying for Full Self-Driving and not for the car, data shows
