Originally published on EVANNEX. The race to fully autonomous vehicles is on. In April, Elon Musk declared that Tesla should have over a million level 5 autonomous vehicles manufactured by 2020.
Originally published on EVANNEX. The race to fully autonomous vehicles is on. In April, Elon Musk declared that Tesla should have over a million level 5 autonomous vehicles manufactured by 2020.
In April, Elon Musk declared that Tesla should have over a million level 5 autonomous vehicles manufactured by 2020. To clarify, that means over a million cars equipped with the necessary hardware capable of driving with no help from a driver.
The data collected by self-driving cars used to be a closely guarded secret. But recently, many companies developing autonomous driving systems have begun to release their data to the research community in dribs and drabs.
This week, WIRED looked into the plight of Joseph Tartaro, a security researcher whose NULL vanity license plate at one point had him on the hook for $12,049 in fines.
Designing your own chips is hard. But Tesla, one of the most aggressive developers of autonomous vehicle technology, thinks it's worth it.
On August 12, a man named Umar Baig was driving illegally in Brooklyn — speeding his Dodge Charger down Coney Island Avenue far, far above the speed limit of 25 miles per hour. At the intersection with Avenue L, he ran a red light, and smashed directly into the side of a Honda SUV.
Tesla has been working on updating its wiring system with a new ‘high speed’ architecture that includes more redundancy, which the automaker believes is going to be useful with the advent of self-driving.
Joseph Tartaro never meant to cause this much trouble. Especially for himself. In late 2016, Tartaro decided to get a vanity license plate. A security researcher by trade, he ticked down possibilities that related to his work: SEGFAULT, maybe, or something to do with vulnerabilities.
The general consensus among experts is we’re headed toward a future in which humans driving cars will seem downright archaic. In a new Vox essay, New York University data journalism professor Meredith Broussard disagrees.
An autonomous car just drove across the country. Nine days after leaving San Francisco, a blue car packed with tech from a company you've probably never heard of rolled into New York City after crossing 15 states and 3,400 miles to make history.
How it could play out: It could start with 'platooning:' One entry point to significant truck automation could be to have a second, autonomous truck travel behind a lead truck driven by a human — a concept known as platooning.
Would you buy a driverless car that is programmed to kill you? Of course not. Ok, how about a car programmed to kill you if it's the only way to avoid plowing into a crowd of dozens?
Advocates of self-driving cars argue that by taking error-prone humans off the streets, there’ll be fewer accidents and less traffic.
The expected shift to battery-powered vehicles that drive themselves will have repercussions that extend far beyond U.S. roadways — altering industries as varied as real estate, oil, auto repair and retail. Here are seven of his boldest and most interesting predictions.
It is a warm autumn morning, and I am walking through downtown Mountain View, Calif., when I see it. A small vehicle that looks like a cross between a golf cart and a Jetson-esque, bubble-topped spaceship glides to a stop at an intersection.
The self-driving robots are coming to transform your job. Kind of. Also, very slowly. That’s the not-quite-exclamatory upshot of a new report from the Washington, DC-based Securing America’s Future Energy.
Automakers are slowly foisting autonomous driving technology on us, and Infiniti is the latest to drive us ever closer to the cliff. The new Q50 is the market’s first “steer-by-wire” model, meaning there’s no mechanical connection between the wheel in your hands and the wheels on the street.
This article was published in partnership with The Marshall Project, a nonprofit news organization covering the US criminal justice system. Sign up for their newsletter, or follow The Marshall Project on Facebook, or Twitter.
What do you look like when you’re excited? How about a little nervous? Bored? Full-on freaked out? If you happen to hop on one of the two very special shuttles that are now running 1-mile loops around the University of Michigan’s North Campus, a bunch of people with fancy degrees may very soon f
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There's a reason every major automaker is in Las Vegas this week for CES: Modern cars are as much about processing power as horsepower. Every new car is a collection of computers; some models have as many as 100 or more.
Mention autonomous vehicles, and people conjure two visions of the future. The rosy picture features a world in which cars zip around by themselves, allowing commuters to while away their time checking email as they benefit from technology expected to save 600,000 lives by 2045.
Carmakers have always designed vehicles for individual drivers and families, not groups of strangers. That could pose a problem going forward. In fact, it already has. Look at the tensions that arose when services like Uber transformed personal rides into public transport.
I drive a Tesla electric vehicle, which controls the steering wheel on highways. My house in Menlo Park, Calif., is a “passive” home that expends minimal energy on heating or cooling. With the solar panels on my roof, my energy bills are close to zero — and that includes charging the car.
Jordan Jacobs and Tomi Poutanen are co-founders and co-CEOs of Layer 6 AI. Richard Zemel is a machine learning professor at the University of Toronto. Geoffrey Hinton is a University of Toronto professor emeritus and VP engineering fellow at Google.
*Editor's note: This is the second entry in our new series Is That a Thing, in which we explore tech's biggest myths, misconceptions, and—every so often—actual truths. Watch the first episode, about cellphones and cancer, here. *
The benefits of self-driving cars extend well beyond letting people safely text, nap, or whatever behind the wheel. The technology could provide mobility to everyone who can't drive a conventional car, including the nation's expanding ranks of elderly drivers.
These days, modern cars come with sophisticated driver assistance tools, like adaptive cruise control, which maintains a set distance from the car in front, and active steering, which keeps a vehicle in its lane.
Tesla was confronted with a series of mishaps and reality checks this week at the tail end of its worst month ever on the market.
At a U.S. House subcommittee hearing on self-driving cars Tuesday, Rep. Gregg Harper (R-Miss.) asked a seemingly simple question about what happens when his own car comes upon an autonomous vehicle. Mike Abelson, GM’s vice president of strategy, didn’t have an answer.
The road is a messy, chaotic place. Unpredictable drivers. Ice. Gravel tracks. Kids dashing into the road between parked cars. Hard to spot, hydroplane-inducing puddles. Surviving it all means knowing how to slam the pedals or swing the steering wheel without losing control.
You're lying on your stomach, with your arms draped forwards, almost like you're going to get a shoulder massage. Except this is not a moment for relaxation. Through a VR headset, you see flashes of color, an unfamiliar view of the world, a group of red lines that looks something like a person.
In my mind, the model city of the 21st century is Venice. It is a city on a human scale, where you walk without fear of being flattened by a truck, talk on the streets without raising your voice and breathe without ingesting fumes from gasoline or diesel, because there are no cars.
WASHINGTON — Federal auto safety regulators on Monday made it official: They are betting the nation’s highways will be safer with more cars driven by machines and not people.
SAN FRANCISCO — In Silicon Valley, where companies big and small are at work on self-driving cars, there have been a variety of approaches, and even some false starts.
Yes, the autonomous car is coming, and fast. Tesla delivered the first of its much-anticipated Model 3s last week, complete with the Autopilot feature that allows the cars to drive themselves on well-marked highways. The Mercedes-Benz S-Class can conquer a roundabout on its own.
About 33,000 people die on America’s roads every year. That’s why so much of the enthusiasm for self-driving cars has focused on their potential to reduce accident rates.
Today’s headlines are filled with technological breakthroughs that promise an optimized future, from artificial intelligence to diagnose disease to self-driving cars that revolutionize transportation. One day, everything will be easier, faster, and better, we’re told.
In a corner of Alphabet’s campus, there is a team working on a piece of software that may be the key to self-driving cars. No journalist has ever seen it in action until now. They call it Carcraft, after the popular game World of Warcraft.
Cars crash a lot: Nearly 37,500 Americans died on the roads last year. Autonomous cars would crash less (for one thing, they don’t drink or text or yell at their kids in the backseat). But that doesn’t mean drivers are ready to give over the wheel.
Constantly spinning, it uses laser beams to generate a 360-degree image of the car’s surroundings. Uses parallax from multiple images to find the distance to various objects. Cameras also detect traffic lights and signs, and help recognize moving objects like pedestrians and bicyclists.
Most of the attention around automation focuses on how factory robots and self-driving cars may fundamentally change our workforce, potentially eliminating millions of jobs. But AI that can handle knowledge-based, white-collar work are also becoming increasingly competent.
Autonomous cars are supposed to be just around the corner, right? Well, not exactly. Every year, car companies flock to CES and the North American International Auto Show in Detroit to show off their cool self-driving car concepts.
Most of us regard self-driving cars, voice assistants, and other artificially intelligent technologies as revolutionary. For the next generation, however, these wonders will have always existed.
Dan Peate, a venture capitalist and entrepreneur in Southern California, was thinking of buying a Tesla Model X a few years ago—until he called his insurance company and found out how much his premiums would rise.
Raw data captured from a Luminar sensor while driving along San Francisco’s Embarcadero.CreditCreditLuminar TechnologiesGiant tech companies are fighting over the technology in court. Start-ups around the world are racing to develop new versions of it.
If you believe the CEOs, a fully autonomous car could be only months away. In 2015, Elon Musk predicted a fully autonomous Tesla by 2018; so did Google.
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
There are self-driving cars, then there are self-driving cars. Today at CES, Audi showed me the former.
I know this. I rode in one this week. I saw the car's human operator take his hands from the wheel and the computer assume control.
Would you buy a self-driving car that couldn’t drive itself in 99 percent of the country? Or that knew nearly nothing about parking, couldn’t be taken out in snow or heavy rain, and would drive straight over a gaping pothole?
Oh no! It seems Apple is "years behind" competitors in Virtual Reality, TV content subscriptions, self driving cars and home voice assistants.
Electric self-driving cars will save millions of lives and significantly accelerate the world’s transition to sustainable energy, but only when they’re deployed in large numbers. So, naturally, our singular focus at Cruise is to rapidly deploy self-driving cars at scale.
Many new technologies have unexpected impacts on the physical or social world in which we live.
For the people who develop self-driving cars—the software engineers, the hardware tinkerers, the welders and the bumper-affixers, the C-Suite execs and the marketing folks paid to sell it all—the rest of the world is bit like like a kid-crowded backseat. Are we there yet? the globe asks.
CHANDLER, Ariz. — The assailant slipped out of a park around noon one day in October, zeroing in on his target, which was idling at a nearby intersection — a self-driving van operated by Waymo, the driverless-car company spun out of Google.
In October, Tesla announced that all of its new cars would be outfitted with equipment that would allow them to drive on their own, and released a video showing off the technology.
What to expect from the next 3–20 years of autonomous vehiclesAs Uber rolls out its first self-driving taxis in Pittsburgh, Tesla and Mercedes roll out limited self-driving capabilities and cities around the world negotiate with companies who want to bring self-driving cars and trucks to their cit
Google recently announced that their self-driving car has driven more than a million miles. According to Morgan Stanley, self-driving cars will be commonplace in society by ~2025. This got me thinking about the ethics and philosophy behind these cars, which is what the piece is about.
SAN FRANCISCO — Uber’s robotic vehicle project was not living up to expectations months before a self-driving car operated by the company struck and killed a woman in Tempe, Ariz. The cars were having trouble driving through construction zones and next to tall vehicles, like big rigs.
It was a game of Dots that pushed Erik Coelingh to rethink his entire approach to self-driving cars.
In 2014 researchers at the MIT Media Lab designed an experiment called Moral Machine. The idea was to create a game-like platform that would crowdsource people’s decisions on how self-driving cars should prioritize lives in different variations of the “trolley problem.
WASHINGTON Alphabet Inc's Google unit (GOOGL.O), Ford Motor Co (F.N), the ride-sharing service Uber [UBER.UL] and two other companies said on Tuesday they are forming a coalition to push for federal action to help speed self-driving cars to market.
It’s easy to get giddy about self-driving cars. Older people and preteens will become more independent and mobile. The scourge of drunken driving will disappear. People will be able to safely play video games while on the freeway to work.
Oh, the untainted optimism of 2014. In the spring of that year, the good Swedes at Volvo introduced Drive Me, a program to get regular Josefs, Frejas, Joeys, and Fayes into autonomous vehicles.
In America, the age of autonomous shuttles began with a crunch. A minor crunch, really, according to the people running the autonomous shuttle in question.
Some of Uber’s self-driving cars aren’t driving as smoothly as the company hoped they would.
Technology meant to save us from distraction is making us less attentive. Dr. Thakkar is a psychiatrist.
I had been enjoying a quiet happy hour with my friend Linde. He was professing his love for Ayrton Senna da Silva, the Brazilian Formula One champion, recounting how Senna’s death at the track had moved him to tears. Our neighbor had started eavesdropping, and then interrupting.
Many components go into making a vehicle capable of driving itself, but one is proving to be more crucial and contentious than all the rest. That vital ingredient is the lidar sensor, a device that maps objects in 3-D by bouncing laser beams off its real-world surroundings.
When we hear about Convolutional Neural Network (CNNs), we typically think of Computer Vision. CNNs were responsible for major breakthroughs in Image Classification and are the core of most Computer Vision systems today, from Facebook’s automated photo tagging to self-driving cars.
Google’s self-driving cars and robots get a lot of press, but the company’s real future is in machine learning, the technology that enables computers to get smarter and more personal. We are probably living in the most defining period of human history.
5G is coming, and it’s going to have a massive impact on almost every facet of how we use technology, with faster speeds and lower latency theoretically opening up huge new frontiers in everything from smartphones to self-driving cars. But the future of mobile networks isn’t here yet.
Automated vehicles (AVs), colloquially known as "self-driving cars," are no longer sci-fi speculation. They are happening.
There has been a recent surge in popularity of Deep Learning, achieving state of the art performance in various tasks like Language Translation, playing Strategy Games and Self Driving Cars requiring millions of data points.
Self-driving cars. Robotic surgeries. Toothbrushes that detect when you're sick.
In less than a decade, Uber has redefined the idea of flexible labor and gutted the American taxi industry. The company launched a fleet of self-driving cars in Pittsburgh. It's on its way to becoming the most valuable startup ever. Whatever. Today, Uber is promising flying cars.
Most of us have heard of Google's well-publicized moonshots: Self-driving cars, smart contact lenses, internet-beaming balloons, and more. While those products and services sound amazing, most of us can't use them just yet.
Convolutional Neural Networks are great: they recognize things, places and people in your personal photos, signs, people and lights in self-driving cars, crops, forests and traffic in aerial imagery, various anomalies in medical images and all kinds of other useful things.
In the 1800s it was the Luddites smashing weaving machines. These days retail staff worry about automatic checkouts. Sooner or later taxi drivers will be fretting over self-driving cars. The battle between man and machines goes back centuries.
As Google works towards the dream of the total driverless car, one of the problems that has been cropping up is that the vehicles are, by design, very defensive drivers.
When Artificial Intelligence works as intended, Silicon Valley types often say it's "like magic". But it isn't magic.
There’s a joke about Larry Page that’s been making the rounds at Google X, the “moon shot” factory where Google is developing self-driving cars, high-altitude wind turbines, and a fleet of stratospheric balloons to blanket the world with Internet access: A brainiac who works in the lab walks
A NEW kind of vehicle is taking to the roads, and people are not sure what to make of it. Is it safe? How will it get along with other road users? Will it really shake up the way we travel? These questions are being asked today about autonomous vehicles (AVs).
PITTSBURGH — Any day now, Uber will introduce a fleet of self-driving cars in Pittsburgh, making this former steel town the world’s first city to let any passenger hail an autonomous vehicle.
When people think about self-driving cars, they naturally think about, well, cars. They imagine a future where they buy a new car that has a "self drive" button that takes them wherever they want to go. That will happen eventually.
Self-driving cars are a scam,” says George Hotz, the 28-year-old CEO of Comma.ai who rose to fame under his “geohot” hacker alias when just a teenager.
Ford and other companies say the industry overestimated the arrival of autonomous vehicles, which still struggle to anticipate what other drivers and pedestrians will do. Most of those cars have yet to arrive — and it is likely to be years before they do.
Much has been said about the ways we expect our oncoming fleet of driverless cars to change the way we live—remaking us all into passengers, rewiring our economy, retooling our views of ownership, and reshaping our cities and roads. They will also change the way we die.
So far, self-driving cars have a safer driving track record than most humans. This seems impressive, but part of the reason is because we suck at driving. We’re in a hurry, we get angry, and we take unnecessary risks. In those areas, self-driving cars have a few things they could teach us.
Psst... there’s an audio version of this story. Upgrade to listen.It’s amazing how quickly perceptions can change. It may seem hard to remember now, but in 2017, the hype machine was going full steam ahead on self-driving cars and their presumed future dominance of transportation.
When New York City’s transportation commissioner returned from a recent trip to California, she seemed downright jealous. There were electric scooters in Oakland. New train lines in Los Angeles. Self-driving cars in the Bay Area. She tried them all.
I promise you won’t have to use either Google or a dictionary while reading this. In this post I will teach you the core concepts about everything from “deep learning” to “computer vision”. Using dead simple English.