General Motors

the-first-cars-bold-enough-to-drive-themselves

The first cars bold enough to drive themselves


Quevedo’s telekino of 1904 was the first step on the road to autonomous Waymos.

Credit: Aurich Lawson | Getty Images

No one knows exactly when the vehicles we drive will finally wrest the steering wheel from us. But the age of the autonomous automobile isn’t some sudden Big Bang. It’s more of a slow crawl, one that started during the Roosevelt administration. And that’s Theodore, not Franklin. And not in America, but in Spain, by someone you’ve probably never heard of.

His name was Leonardo Torres Quevedo, a Spanish engineer born in Santa Cruz, Spain, in 1852. Smart? In 1914, he developed a mechanical chess machine that autonomously played against humans. But more than a decade earlier, he pioneered the development of remote-control systems. What he wrought was brilliant, if crude—and certainly ahead of its time.

The first wireless control

It was called the Telekino, a name drawn from the Greek “tele,” meaning at a distance, and “kino,” meaning movement. Patented in Spain, France, and the United States, it was conceived as a way to prevent airship accidents. The Telekino transmitted wireless signals to a small receiver known as a coherer, which detected electromagnetic waves and transformed them into an electrical current. This current was amplified and sent on to electromagnets that slowly rotated a switch controlling the proper servomotor. Quevedo could issue 19 distinct commands to the systems of an airship without ever touching a control cable.

By 1904, he was using the Telekino to direct a small, three-wheeled vehicle from nearly 100 feet away. It was the earliest recorded instance of a vehicle being controlled by radio. After that, Quevedo demonstrated the system’s usefulness aboard boats and even torpedoes, but here the story slows. The Spanish Crown, cautious and reluctant to invest, withheld its support. Without funding, Quevedo couldn’t build and sell the Telekino.

But he had shown that a machine could be guided by signals. It would be more than a century before that notion would reach fruition. But that doesn’t mean others didn’t try.

Leave it to Ohio

Dayton, Ohio, August 5, 1921. The country was in the thick of the automotive age, and Dayton stood as one of its industrious nerve centers. General Motors had established a strong presence there with its Frigidaire Division, promising a future of electrified domestic bliss. Meanwhile, across town, engineers at Delco, the Dayton Engineering Laboratories Company, were refining the very heart of the automobile. This was a place where invention was not merely encouraged, but expected.

But on this particular summer afternoon, the most remarkable innovation did not come from the factory floor or the corporate drafting room. It came instead from the US Army, an outfit not usually known for whimsical experimentation. It sent a small, three-wheeled vehicle, scarcely eight feet long and fitted with radio equipment, rolling through the city’s business district. The vehicle moved without a driver. Some 50 feet behind it, Captain R. E. Vaughn of nearby McCook Field guided its movement by radio signal.

1926: A woman smiles and waves from the driver's seat of a Chandler convertible parked on a gravel road near a coastline. She wears an overcoat and a cloche hat

A 1926 Chandler. Obviously, this one is human-driven—you can tell by the human waving from the driver’s seat.

Credit: American Stock/Getty Images

A 1926 Chandler. Obviously, this one is human-driven—you can tell by the human waving from the driver’s seat. Credit: American Stock/Getty Images

Four years later, the spectacle reappeared. This time it was on the streets of New York City, where a crowd along Broadway watched as a 1926 Chandler, sitting quietly at the curb, came to life. The engine turned, the gears engaged, and it pulled smoothly into the stream of traffic before making its way up Fifth Avenue without a driver. Dubbed the “American Wonder” by its creator, Francis P. Houdina, the car responded to radio commands transmitted from a chase car. Signals were received by antennas atop the Chandler, where they triggered circuit breakers and small electric motors that operated the steering, throttle, brakes, and horn.

The idea proved too tantalizing to fade. In Cincinnati, a Toledo inventor named Maurice J. Francill took up the cause in 1928. Francill, who styled himself “America’s Radio Wizard,” demonstrated how radio control could move Ford automobiles without a driver. In a series of stage-like performances, he also milked cows, baked bread, and operated a laundry, all through radio command. By 1936, newspapers from Ohio to California were still reporting his feats.

“Francill claims that he can accomplish anything the human hand can do by radio,” the Orange County News observed. “Eight pounds [3.6 kg] of delicate brain-like radio apparatus was employed to control the lights, ignition system, horn and start the motor running. Five pounds [2.3 kg] of radio apparatus is required to guide the car.”

These vehicles may seem like novelties today, but they’re early proof that the automobile can be guided by something other than humans.

Detroit buys into the dream

The dream of a self-driving automobile did not vanish when these moments passed. It lingered, an idea returned to again and again, particularly in the years when America believed that anything was possible.

At the 1939 New York World’s Fair, General Motors offered a glimpse of that future with its enormous Futurama exhibit. Seated above a raised platform, fairgoers saw a miniature city where tiny electric cars moved serenely along highways without drivers. The cars, they were told, would one day be guided by radio signals and electric currents running through cables and circuits beneath the pavement, creating an electromagnetic field that could both power the vehicles and guide their course. It was a bold, imaginative vision—and characteristic of a time when modern engineering was forecast to remake the world.

After the war, engineers did not let the idea fade. They continued to work on the idea of communication between road and machine. At General Motors’ Motorama, a traveling showcase of the car’s newest vehicles and latest ideas, one display in 1956 captured the imagination of audiences across the country. GM unveiled a sleek, gas turbine–powered automobile, sheathed in titanium and brimming with the promise of autonomous driving.

GM's Firebird II concept from 1956

The Firebird II concept from 1956 could drive itself on special roads.

Credit: General Motors

The Firebird II concept from 1956 could drive itself on special roads. Credit: General Motors

Beneath certain stretches of highway, GM proposed laying an electronic strip. When the car traveled over it, sensors would lock onto the signal, guiding the vehicle automatically along its lane. The driver would simply lean back, hands free from the wheel, and watch the miles roll by. Onboard amenities inexplicably included an orange juice dispenser.

Proof of concept

By 1958, the idea became a reality. On a plain stretch of highway outside Lincoln, Nebraska, it was put to the test. The state’s Department of Roads embedded a 400-foot (121 m) length of the roadway with electric circuits, while engineers from RCA and General Motors brought specially fitted Chevrolets to test it. Observers watched as the driverless cars steered themselves, responding to the buried signal beneath the pavement.

A few years later, across the Atlantic, the United Kingdom’s Transport and Road Research Laboratory undertook its own experiments. Using a Citroën DS, they laid magnetic cables beneath a test track and sent the car down it at speeds of up to 80 mph (129 km/h). Wind and weather made no difference; the DS held its line faithfully.

Autonomy emerges in the modern age

Fast forward to 1986, and German scientist Ernst Dickmanns, as part of his position with the German armed forces, began testing an autonomously driving Mercedes-Benz using computers, cameras, and sensors, not unlike modern-day cars. Within a year, it was travelling down the Autobahn at nearly 55 mph (89 km/h). That was enough to capture the attention of Daimler-Benz, which helped fund further research.

Several years later, in October 1994, Dickmanns gathered his research team at Charles de Gaulle Airport outside Paris, where they met a delegation of high-ranking officials. Parked at the curb were two sedans. They appeared ordinary but were fitted with cameras, sensors, and onboard computers. The guests climbed in, and the cars made their way toward the nearby thoroughfare. Then, with the traffic flowing steadily around them, the engineers switched the vehicles into self-driving mode and took their hands off the wheel. The cars held their lanes, adjusted their speed, and followed the road’s gentle curves without driver intervention.

An illustration of a 1994 driverless car

The experimental driverless car VaMP (Versuchsfahrzeug für autonome Mobilität und Rechnersehen), which was developed during the European research project PROMETHEUS: (top left) components for autonomous driving; (right) VaMP and view into passenger cabin (lower right); (lower left) bifocal camera arrangement (front) on yaw platform.

Credit: CC BY-SA 3.0

The experimental driverless car VaMP (Versuchsfahrzeug für autonome Mobilität und Rechnersehen), which was developed during the European research project PROMETHEUS: (top left) components for autonomous driving; (right) VaMP and view into passenger cabin (lower right); (lower left) bifocal camera arrangement (front) on yaw platform. Credit: CC BY-SA 3.0

A year later, Dickmanns would travel from Bavaria to Denmark, a trip of more than 1,056 miles (1,700 km), reaching speeds of nearly 110 mph (177 km/h). Unfortunately, Daimler lost interest and cut funding for the effort. Dickmann’s project came to a halt, but the modern-day technology was in place to set the stage for what came next.

The military sparks innovation–again

By the turn of the century, the federal government had created a new research arm of the Pentagon, the Defense Advanced Research Projects Agency, or DARPA. Its mission was ambitious: to develop technologies that could protect American soldiers on the battlefield. Among its goals was the creation of vehicles that could drive themselves, sparing troops the dangers of roadside ambushes and explosive traps.

To accelerate progress, DARPA announced a competition to build a driverless vehicle capable of traveling 142 miles (229 km) across the Mojave Desert. The prize was $1 million, though the real prize was the knowledge gained along the way.

When race day arrived, the results were humbling. One by one, every vehicle failed to finish. But in the sun and dust of the Mojave, a community emerged, one of engineers, programmers, and dreamers who believed that the autonomous vehicle was not a fantasy but a problem to be solved. Twenty years later, their work has brought the idea closer to everyday reality than ever before.

By themselves, these efforts did not yet give the world the self-driving car. But these successful experiments demonstrate the ability to make a fantasy reality. It’s also a reminder that while the tech industry likes to position itself as a disruptor bringing self-driving cars to market, Detroit was dreaming about and demonstrating autonomous transportation long before Silicon Valley existed.

The first cars bold enough to drive themselves Read More »

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General Motors will integrate AI into its cars, plus new hands-free assist

I asked Dave Richardson, GM’s SVP of software, how the company will avoid the enshittification of vehicles as it integrates more AI.

“There’s a lot of hype around AI right now,” he told me. “But there’s also practical use. I’ve been trying to focus the company on practical use cases. I think there’s a lot of pretty compelling things we can do to try to add real value.”

He gave some examples, such as a car knowing you have a meeting and setting the navigation appropriately or knowing that you’re going on a road trip, so it should queue up the appropriate media for your kids to stream in the back seat.

While the company is using Gemini at first, it eventually plans to have its own model on board. “With advanced processing in the car, we can handle interference on board so that it works in low-data-connection areas,” Richardson said.

Ultimately, GM will deploy its own LLM that knows about the car and is limited in overall parameters, Richardson told me. It won’t need to rely on the cloud to operate, increasing responsiveness in the car and keeping personal information with you, he said.

There are reasons to be skeptical, of course. One of my biggest concerns is how much driver data the car will collect. One reason GM doesn’t offer Android Auto or Apple CarPlay, the company has said, is that it wants to protect customer data. The owner must consent to any data sharing, GM said.

And although GM says it has made some internal changes to protect customer data, there have been some very public instances of the company selling data. “Data privacy and security is priority one for us,” Richardson told me about his work at GM. He said he has hired people specifically tasked with ensuring that customer data protection frameworks are in place.

“We have no interest in selling that data to third parties. When we think about data, whether it’s for Super Cruise or the AI, it’s really for us to develop the product and make it better. We don’t want to sell that data as the product itself,” he said.

I believe there’s space for a privacy-focused automaker, and while I’m not sure whether that will be GM, I hope that privacy and data protection are as important to the company in the future as it says it is today.

As for consumers wanting AI in their vehicles? GM thinks they do.

General Motors will integrate AI into its cars, plus new hands-free assist Read More »

gm’s-ev-push-will-cost-it-$1.6-billion-in-q3-with-end-of-the-tax-credit

GM’s EV push will cost it $1.6 billion in Q3 with end of the tax credit

The prospects of continued electric vehicle adoption in the US are in an odd place. As promised, the Trump administration and its congressional Republican allies killed off as many of the clean energy and EV incentives as they could after taking power in January. Ironically, though, the end of the clean vehicle tax credit on September 30 actually spurred the sales of EVs, as customers rushed to dealerships to take advantage of the soon-to-disappear $7,500 credit.

Predictions for EV sales going forward aren’t so rosy, and automakers are reacting by adjusting their product portfolio plans. Today, General Motors revealed that will result in a $1.6 billion hit to its balance sheet when it reports its Q3 results late this month, according to its 8-K.

Q3 was a decent one for GM, with sales up 8 percent year on year and up 10 percent for the year to date. GM EV sales look even better: up 104 percent for the year to date compared to the first nine months of 2024, with nearly 145,000 electric Cadillacs, Chevrolets, and GMCs finding homes.

GM’s EV push will cost it $1.6 billion in Q3 with end of the tax credit Read More »

how-automakers-are-reacting-to-the-end-of-the-$7,500-ev-tax-credit

How automakers are reacting to the end of the $7,500 EV tax credit

Just after midnight this morning, in addition to getting a federal government shutdown, we also lost all federal tax credits for new electric vehicles, used electric vehicles, and commercial electric vehicles.

Sadly, this was not a surprise. During last year’s election, the Trump campaign made no secret of its disgust toward clean vehicles (and clean energy in general), and it promised to end subsidies meant to encourage Americans to switch from internal combustion engines to EVs. Once in power, the Republicans moved quickly to make this happen.

Federal clean vehicle incentives had only recently been revamped in then-US President Joe Biden’s massive investment in clean technologies as part of the Inflation Reduction Act of 2022. To qualify for the $7,500 tax credit, a new EV had to have its final assembly in North America, and certain percentages of its battery content needed to be domestically sourced.

A separate $7,500 commercial tax credit for new EVs was created, which did not require domestic assembly or content and which applied to leased EVs. And Congress finally added a $4,000 tax credit for the purchase of a used EV.

Visiting the relevant IRS page today, though, you’ll see an update declaring that the “New Clean Vehicle Credit, Previously-Owned Clean Vehicle Credit, and Qualified Commercial Clean Vehicle Credit are not available for vehicles acquired after Sept. 30, 2025.”

How automakers are reacting to the end of the $7,500 EV tax credit Read More »

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Parts shortage is the latest problem to hit General Motors production

General Motors will temporarily lay off workers at its Wentzville assembly plant in Missouri. According to a letter sent to employees by the head of the plant and the head of the local union, a shortage of parts is the culprit, and as a result, the factory will see “a temporary layoff from September 29–October 19.” The plant is about 45 minutes west of St. Louis and employs more than 4,000 people to assemble midsize pickup trucks for Chevrolet and GMC, as well as full-size vans.

Not every employee will be laid off—”skilled trades, stamping, body shop, final process and those groups that support these departments” may still have work.

Government policies

Earlier this month, GM revealed plans to reduce the number of electric vehicles it builds, despite having a bumper month in August that saw it sell very nearly twice as many EVs as Ford. In that case, it blamed weak demand for electric vehicles, no doubt forecasting what the end of the IRS clean vehicle tax credit will do to the market.

US President Donald Trump made no secret of his dislike for EVs during his campaign, and since taking office in January his administration has worked hard to remove incentives for private and commercial buyers, as well as attacking subsidies for manufacturing and, most recently, the mass arrest of hundreds of South Korean workers setting up a battery factory in Georgia, meant to supply Hyundai’s nearby Metaplant, which builds the Ioniq 5 and Ioniq 9 EVs.

Parts shortage is the latest problem to hit General Motors production Read More »

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NASCAR, IMSA, IndyCar, F1: GM’s motorsport boss explains why it goes racing

The late Richard Parry-Jones, who rose to CTO over at rival Ford, had a similar take: vehicle dynamics matter.

“There are people that think no one can tell the difference, you know, and I’ve always said they absolutely can tell the difference. They don’t know what it is. And the structural feel of the car going down the road, you know, people might explain, ‘It feels like a vault.’ Well, I can tell you exactly what’s going on, physically, from the parts and the tuning, and it’s an outcome that we strive for,” Morris said.

Does it need to be electrified?

The addition of electrified powertrains has certainly been one of the biggest trends in motorsport over the past decade or so. Since F1 made hybrids mandatory in 2014, we’ve also seen hybridization come to IMSA and WEC’s prototypes, and most recently, IndyCar added a supercapacitor-based system. But it hasn’t been a one-way street; this year, both the World Rally Championship and the British Touring Car Championship have abandoned the hybrid systems they adopted just a few years ago.

Win on Sunday, sell on Monday, like concrete tech transfer, is much less of a thing in the early 21st century, but marketing remains a central reason for OEM involvement in the sport. I asked Morris if Cadillac would be endurance racing with the V-Series R if the LMdh ruleset didn’t require a hybrid system.

“I think it’s an interesting discussion because you know, current EVs—the development [needed] where you can really do lapping at the Nürburgring or lapping full laps and not one hot lap, then you’re done, there’s just going to have to be development, development iteration, iteration, and that’s what racing is,” Morris said.

While the mechanical specifications of the hybrid Cadillac (and its rivals) are locked down, software development is unfettered, and Morris is not the first competitor to tell me how important that development path is now. Battery cell chemistries and battery cooling are also very active research areas and will only get more important once Cadillac enters F1. At first, that will be with Ferrari engines in the back, but starting in 2029, the Cadillac team will use a powertrain designed in-house.

NASCAR, IMSA, IndyCar, F1: GM’s motorsport boss explains why it goes racing Read More »

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GM faces ban on selling driver data that can be used to raise insurance rates

The FTC said its complaint alleged that “GM used a misleading enrollment process to get consumers to sign up for its OnStar connected vehicle service and the OnStar Smart Driver feature.” Lina Khan, who is in her final week as FTC chair, said that “GM monitored and sold people’s precise geolocation data and driver behavior information, sometimes as often as every three seconds.”

Settlement not quite finalized

The proposed settlement was approved in a closed meeting by the FTC’s three Democrats, with the two Republicans recorded as absent. The pending agreement will be subject to public comment for 30 days after publication in the Federal Register, and a final FTC decision will be made under the Trump administration.

In addition to location data, the GM/FTC settlement covers “radio listening data regarding specific content, channel, or station; hard braking, hard acceleration, hard cornering, crossing of a designated high-speed threshold, seat belt usage, or late-night driving; and trip time and duration for such events.” GM and OnStar agreed to delete data collected before the settlement and ask third parties to delete data previously shared with them.

GM also “must allow consumers to disable the collection of Location Data from their Vehicles to the extent the Vehicle is equipped with the necessary technology.”

GM issued a press release on the settlement. “Last year, we discontinued Smart Driver across all GM vehicles, unenrolled all customers, and ended our third-party telematics relationships with LexisNexis and Verisk,” GM said. “In September, we consolidated many of our US privacy statements into a single, simpler statement as part of our broader work to keep raising the bar on privacy… As part of the agreement, GM will obtain affirmative customer consent to collect, use, or disclose certain types of connected vehicle data (with exceptions for certain purposes).”

Affirmative consent is not required for purposes such as providing driver data to emergency responders, responding to customer-initiated communications, complying with government requests and legal requirements, and investigating product quality or safety problems. While the ban on sharing driving data lasts only five years, the overall settlement would be in place for 20 years.

GM faces ban on selling driver data that can be used to raise insurance rates Read More »

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No more EV app folders: Universal plug-and-charge is due to launch in 2025

To fill a car with gas, you generally just need a credit card or cash. To charge an EV at a DC fast charging station, you need any number of things to work—a credit card reader, an app for that charger’s network, a touchscreen that’s working—and they’re all a little different.

That situation could change next year if a new “universal Plug and Charge” initiative from SAE International, backed by a number of EV carmakers and chargers, moves ahead and gains ground. Launching in early 2025, the network could make charging an EV actually easier than gassing up: plug in, let the car and charger figure out the payment details over a cloud connection, and go.

Some car and charging network combinations already offer such a system through a patchwork of individual deals, as listed at Inside EVs. Teslas have always offered a plug-and-charge experience, given the tight integration between their Superchargers and vehicles. Now Tesla will join the plug-and-charge movement proper, allowing Teslas to have a roughly similar experience at other stations.

The Electric Vehicle Public Key Infrastructure, or EVPKI, has a good number of the major players on board, and it builds on the ISO standard (15118) to make it faster and more secure for cars to be authenticated and authorized to charge at stations. A whole bunch of certificates are in place at every step of the charging process, as detailed in an EVPKI presentation, and the system includes a Certified Trust List. With an open standard and authentication system, there should be room for new charging networks and vehicle makers.

No more EV app folders: Universal plug-and-charge is due to launch in 2025 Read More »

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EVgo and GM reveal their new fast charger experience

opens next year —

The layout and canopy are similar to a gas station.

A GM Energy/EVgo charging station

Enlarge / Are you getting gas station vibes? Because I’m getting gas station vibes.

GM

Several years ago, General Motors and EVgo teamed up to build out a network of fast chargers for electric vehicles. As Tesla proved, giving your customers confidence that they won’t be stranded on a long drive with a dead battery really helps sell EVs, and GM’s sometimes-shifting target currently stands at deploying 2,850 chargers. Today, the two partners showed off their concept for an improved charging experience, which they say will come to a number of flagship charger locations around the US.

The most obvious thing to notice is the large canopy, co-branded with EVgo and GM Energy, similar to those found at virtually every gas station across the country. The gas station vibes don’t end there, either. Ample lighting and security cameras are meant to combat the sometimes sketchy vibes that can be found at other banks of (often dimly lit) fast chargers after dark, located as they often are in the far reaches of a mall parking lot.

And the chargers are sited between the charging bays the same way gas pumps are located, allowing a driver to pull through. Most fast chargers require a driver to pull in or back into the space even when the chargers are located to one side, a fact that complicates long-distance towing with an EV.

The chargers will be rated for 350 kW so that 800 V EVs can minimize their charge times. And while the announcement did not mention charging plugs, given GM’s adoption of the J3400 (originally NACS) plug from the next model year and EVgo’s embrace of the new connnector, it seems likely to expect both J3400 and CCS1 plugs on each charger.

“The future of EV charging is larger stall count locations, high-power charging, and designing around features that customers love—such as pull-through access, canopies, and convenient amenities. Through this next evolution of EVgo and GM’s esteemed collaboration, the future of EV charging is here,” said Dennis Kish, EVgo’s president.

“Ensuring that our customers have seamless access to convenient and reliable charging is imperative, and this effort will take it to the next level,” said GM Energy VP Wade Sheffer. “Through our collaborations with industry leaders like EVgo, we continue to innovate and expand customer-centric charging solutions that will meet the evolving needs of EV drivers across the country.”

The first site opens next year

There won’t be a fixed number of chargers at each location—the companies say most sites will have “up to 20 stalls,” with some locations featuring significantly more. We also don’t know where the sites will be—GM and EVgo say “coast to coast, including in metropolitan areas in states such as Arizona, California, Florida, Georgia, Michigan, New York, and Texas” and that the first location should open in 2025.

2025 was the original time frame for the full deployment of the GM Energy/EVgo fast charging network, which was also supposed to total 3,250 plugs by then—at least, that was the goal when Ars wrote about it in 2022. It appears as if the reduction in plugs freed up funds to pay for these fancier flagships.

That said, the network is not vaporware. EVgo and GM Energy deployed their 1,000th charger last summer and say they’ll reach the 2,000th by the end of this year. Additionally, the two are working together with Pilot Travel Centers to deploy another 2,000 chargers across the US at Pilot and Flying J travel centers—by the end of 2023, the first 17 of these were operational, with the goal of 200 sites by the end of this year.

EVgo and GM reveal their new fast charger experience Read More »

ai-and-ml-enter-motorsports:-how-gm-is-using-them-to-win-more-races

AI and ML enter motorsports: How GM is using them to win more races

not LLM or generative AI —

From modeling tire wear and fuel use to predicting cautions based on radio traffic.

SAO PAULO, BRAZIL - JULY 13: The #02 Cadillac Racing Cadillac V-Series.R of Earl Bamber, and Alex Lynn in action ahead of the Six Hours of Sao Paulo at the Autodromo de Interlagos on July 13, 2024 in Sao Paulo, Brazil.

Enlarge / The Cadillac V-Series.R is one of General Motors’ factory-backed racing programs.

James Moy Photography/Getty Images

It is hard to escape the feeling that a few too many businesses are jumping on the AI hype train because it’s hype-y, rather than because AI offers an underlying benefit to their operation. So I will admit to a little inherent skepticism, and perhaps a touch of morbid curiosity, when General Motors got in touch wanting to show off some of the new AI/machine learning tools it has been using to win more races in NASCAR, sportscar racing, and IndyCar. As it turns out, that skepticism was misplaced.

GM has fingers in a lot of motorsport pies, but there are four top-level programs it really, really cares about. Number one for an American automaker is NASCAR—still the king of motorsport here—where Chevrolet supplies engines to six Cup teams. IndyCar, which could once boast of being America’s favorite racing, is home to another six Chevy-powered teams. And then there’s sportscar racing; right now, Cadillac is competing in IMSA’s GTP class and the World Endurance Championship’s Hypercar class, plus a factory Corvette Racing effort in IMSA.

“In all the series we race we either have key partners or specific teams that run our cars. And part of the technical support that they get from us are the capabilities of my team,” said Jonathan Bolenbaugh, motorsports analytics leader at GM, based at GM’s Charlotte Technical Center in North Carolina.

Unlike generative AI that’s being developed to displace humans from creative activities, GM sees the role of AI and ML as supporting human subject-matter experts so they can make the cars go faster. And it’s using these tools in a variety of applications.

One of GM's command centers at its Charlotte Technical Center in North Carolina.

Enlarge / One of GM’s command centers at its Charlotte Technical Center in North Carolina.

General Motors

Each team in each of those various series (obviously) has people on the ground at each race, and invariably more engineers and strategists helping them from Indianapolis, Charlotte, or wherever it is that the particular race team has its home base. But they’ll also be tied in with a team from GM Motorsport, working from one of a number of command centers at its Charlotte Technical Center.

What did they say?

Connecting all three are streams and streams of data from the cars themselves (in series that allow car-to-pit telemetry) but also voice comms, text-based messaging, timing and scoring data from officials, trackside photographs, and more. And one thing Bolenbaugh’s team and their suite of tools can do is help make sense of that data quickly enough for it to be actionable.

“In a series like F1, a lot of teams will have students who are potentially newer members of the team literally listening to the radio and typing out what is happening, then saying, ‘hey, this is about pitting. This is about track conditions,'” Bolenbaugh said.

Instead of giving that to the internship kids, GM built a real time audio transcription tool to do that job. After trying out a commercial off-the-shelf solution, it decided to build its own, “a combination of open source and some of our proprietary code,” Bolenbaugh said. As anyone who has ever been to a race track can attest, it’s a loud environment, so GM had to train models with all the background noise present.

“We’ve been able to really improve our accuracy and usability of the tool to the point where some of the manual support for that capability is now dwindling,” he said, with the benefit that it frees up the humans, who would otherwise be transcribing, to apply their brains in more useful ways.

Take a look at this

Another tool developed by Bolenbaugh and his team was built to quickly analyze images taken by trackside photographers working for the teams and OEMs. While some of the footage they shoot might be for marketing or PR, a lot of it is for the engineers.

Two years ago, getting those photos from the photographer’s camera to the team was the work of two to three minutes. Now, “from shutter click at the racetrack in a NASCAR event to AI-tagged into an application for us to get information out of those photos is seven seconds,” Bolenbaugh said.

Sometimes you don't need a ML tool to analyze a photo to tell you the car is damaged.

Enlarge / Sometimes you don’t need a ML tool to analyze a photo to tell you the car is damaged.

Jeffrey Vest/Icon Sportswire via Getty Images

“Time is everything, and the shortest lap time that we run—the Coliseum would be an outlier, but maybe like 18 seconds is probably a short lap time. So we need to be faster than from when they pass that pit lane entry to when they come back again,” he said.

At the rollout of this particular tool at a NASCAR race last year, one of GM’s partner teams was able to avoid a cautionary pitstop after its driver scraped the wall, when the young engineer who developed the tool was able to show them a seconds-old photo of the right side of the car that showed it had escaped any damage.

“They didn’t have to wait for a spotter to look, they didn’t have to wait for the driver’s opinion. They knew that didn’t have damage. That team made the playoffs in that series by four points, so in the event that they would have pitted, there’s a likelihood where they didn’t make it,” he said. In cases where a car is damaged, the image analysis tool can automatically flag that and make that known quickly through an alert.

Not all of the images are used for snap decisions like that—engineers can glean a lot about their rivals from photos, too.

“We would be very interested in things related to the geometry of the car for the setup settings—wicker settings, wing angles… ride heights of the car, how close the car is to the ground—those are all things that would be great to know from an engineering standpoint, and those would be objectives that we would have in doing image analysis,” said Patrick Canupp, director of motorsports competition engineering at GM.

Many of the photographers you see working trackside will be shooting on behalf of teams or manufacturers.

Enlarge / Many of the photographers you see working trackside will be shooting on behalf of teams or manufacturers.

Steve Russell/Toronto Star via Getty Images

“It’s not straightforward to take a set of still images and determine a lot of engineering information from those. And so we’re working on that actively to help with all the photos that come in to us on a race weekend—there’s thousands of them. And so it’s a lot of information that we have at our access, that we want to try to maximize the engineering information that we glean from all of that data. It’s kind of a big data problem that AI is really geared for,” Canupp said.

The computer says we should pit now

Remember that transcribed audio feed from earlier? “If a bunch of drivers are starting to talk about something similar in the race like the track condition, we can start inferring, based on… the occurrence of certain words, that the track is changing,” said Bolenbaugh. “It might not just be your car… if drivers are talking about something on track, the likelihood of a caution, which is a part of our strategy model, might be going up.”

That feeds into a strategy tool that also takes lap times from timing and scoring, as well as fuel efficiency data in racing series that provide it for all cars, or a predictive model to do the same in series like NASCAR and IndyCar where teams don’t get to see that kind of data from their competitors, as well as models of tire wear.

“One of the biggest things that we need to manage is tires, fuel, and lap time. Everything is a trade-off between trying to execute the race the fastest,” Bolenbaugh said.

Obviously races are dynamic situations, and so “multiple times a lap as the scenario changes, we’re updating our recommendation. So, with tire fall off [as the tire wears and loses grip], you’re following up in real time, predicting where it’s going to be. We are constantly evolving during the race and doing transfer learning so we go into the weekend, as the race unfolds, continuing to train models in real time,” Bolenbaugh said.

AI and ML enter motorsports: How GM is using them to win more races Read More »

one-of-the-major-sellers-of-detailed-driver-behavioral-data-is-shutting-down

One of the major sellers of detailed driver behavioral data is shutting down

Products driving products —

Selling “hard braking event” data seems less lucrative after public outcry.

Interior of car with different aspects of it highlighted, as if by a camera or AI

Getty Images

One of the major data brokers engaged in the deeply alienating practice of selling detailed driver behavior data to insurers has shut down that business.

Verisk, which had collected data from cars made by General Motors, Honda, and Hyundai, has stopped receiving that data, according to The Record, a news site run by security firm Recorded Future. According to a statement provided to Privacy4Cars, and reported by The Record, Verisk will no longer provide a “Driving Behavior Data History Report” to insurers.

Skeptics have long assumed that car companies had at least some plan to monetize the rich data regularly sent from cars back to their manufacturers, or telematics. But a concrete example of this was reported by The New York Times’ Kashmir Hill, in which drivers of GM vehicles were finding insurance more expensive, or impossible to acquire, because of the kinds of reports sent along the chain from GM to data brokers to insurers. Those who requested their collected data from the brokers found details of every trip they took: times, distances, and every “hard acceleration” or “hard braking event,” among other data points.

While the data was purportedly coming from an opt-in “Smart Driver” program in GM cars, many customers reported having no memory of opting in to the program or believing that dealership salespeople activated it themselves or rushed them through the process. The Mozilla Foundation considers cars to be “the worst product category we have ever reviewed for privacy,” given the overly broad privacy policies owners must agree to, extensive data gathering, and general lack of safeguards or privacy guarantees available for US car buyers.

GM quickly announced a halt to data sharing in late March, days after the Times’ reporting sparked considerable outcry. GM had been sending data to both Verisk and LexisNexis Risk Solutions, the latter of which is not signaling any kind of retreat from the telematics pipeline. LexisNexis’ telematics page shows logos for carmakers Kia, Mitsubishi, and Subaru.

Ars contacted LexisNexis for comment and will update this post with new information.

Disclosure of GM’s stealthily authorized data sharing has sparked numerous lawsuits, investigations from California and Texas agencies, and interest from Congress and the Federal Trade Commission.

One of the major sellers of detailed driver behavioral data is shutting down Read More »

tesla-may-be-in-trouble,-but-other-evs-are-selling-just-fine

Tesla may be in trouble, but other EVs are selling just fine

relax, EVs aren’t dead —

Almost every other automaker is seeing double-digit EV sales growth.

Generic electric car charging on a city street

Getty Images/3alexd

Have electric vehicles been overhyped? A casual observer might have come to that conclusion after almost a year of stories in the media about EVs languishing on lots and letters to the White House asking for a national electrification mandate to be watered down or rolled back. EVs were even a pain point during last year’s auto worker industrial action. But a look at the sales data paints a different picture, one where Tesla’s outsize role in the market has had a distorting effect.

“EVs are the future. Our numbers bear that out. Current challenges will be overcome by the industry and government, and EVs will regain momentum and will ultimately dominate the automotive market,” said Martin Cardell, head of global mobility solutions at consultancy firm EY.

Public perception hasn’t been helped by recent memories of supply shortages and pandemic price gouging, but the chorus of concerns about EV sales became noticeably louder toward the end of last year and the beginning of 2024. EV sales in 2023 grew by 47 percent year on year, but the first three months of this year failed to show such massive growth. In fact, sales in Q1 2024 were up only 2.6 percent over the same period in 2023.

Tesla doesn’t break out its sales data by region anymore, but its new US registrations were down by as much as 25 percent, month on month, as its overall marketshare of EVs closes in on 50 percent this year; by contrast, Tesla was 80 percent of the US EV market in 2020. (Overall, Tesla’s global deliveries fell by 8.5 percent.)

The other sick patient in addition to Tesla is Volkswagen. Despite local production of the ID.4 crossover in Chattanooga, Tennessee, the brand saw EV sales fall by 37 percent in Q1. It has also abandoned plans to bring the ID.7 electric sedan to North America, and the long-awaited ID. Buzz microbus has yet to reach US showrooms more than eight years after it was first shown here.

But all this noise has been enough to spook executives into action. Both Ford and General Motors took the embarrassing step of rolling back their electrification goals, all but admitting they bet on the wrong horse. Instead of turning away from new internal combustion engine products, we’re set for a new flurry of hybrids—just don’t expect any of them to show up before 2026.

GM’s difficulty in ramping up its new family of EVs built around the UItium battery platform has been well-documented. The end of production of the Chevrolet Bolt, which sold for less than $30,000, didn’t help; with the little electric hatchback (and the slightly stretched Bolt EUV) no longer contributing to the sales charts, GM’s Q1 EV sales fell by 21 percent.

The problems with assembling Ultium cells into battery packs appears to be in GM’s past now. Cadillac Lyriqs are starting to become a common sight on the road, and GM CEO Mary Barra told Bloomberg that GM expects to build between 200,000 and 300,000 Ultium-based EVs this year, a huge increase over the 13,838 it managed to ship last year.

Meanwhile, Ford’s EV “slump” is nothing of the kind. In May, it sold 91 percent more F-150 Lightnings than last year. E-Transit sales were up 77 percent. And the Mustang Mach-E showed growth of 46 percent. In total, Ford’s EV sales for the first five months of this year were up 87.7 percent on 2023, helped no doubt by the company’s price cuts.

High double-digit sales growth (in Q1 2024) has also been occurring at Hyundai and Kia (up 56.1 percent), BMW (up 57.8 percent), Rivian (up 58.8 percent), Mercedes (up 66.9 percent), and Toyota (up 85.9 percent).

“As anticipated, Tesla’s sales took a hit, influencing the overall market dynamics. However, a few brands saw significant EV sales increases, achieving over 50 percent year-over-year growth,” said Stephanie Valdez Streaty, director of industry insights at Cox Automotive. “As noted in January, we are calling 2024 ‘the Year of More.’ More new products, more incentives, more inventory, more leasing and more infrastructure will drive EV sales higher this year. Even so, we’ll continue to see ups and downs as the industry moves toward electrification.”

“We view the current headwinds that EV sales are experiencing in the US and Europe as short-term in nature. The buildup of charging infrastructure, availability of affordable EV models with a fall in battery prices, combined with government regulations, will drive sustainable BEV growth in the long run,” said Cardell.

Tesla may be in trouble, but other EVs are selling just fine Read More »