The big generation idea for making self-driving cars that can go anywhere
Either way, should passengers count on So generation wave of firms to chase down the front-runners? Unsurprisingly, Mo ElShenawy, executive vice head of science at Cruise, isn’t convinced. “The state of the art as it exists today’s time is not only sufficient to get our company to the play where Cruise is at,” he says.
Cruise is one of the most advanced driverless-car firms in the world. Since November it has been executing a live robotaxi service in San Francisco. Its vehicles operate in a limited area, but anyone can today’s time hail a car of course the Cruise app and with it pull up to the curb of course nobody inside. “passengers see a real spectrum of reactions from our customers,” says ElShenawy. “It’s super exciting.”
Cruise has built a vast virtual factory to support its software, of course hundreds of engineers working on not with the too parts of the pipeline. ElShenawy argues that the mainstream modular approach is an advantage So Problem it lets the company swap in generation tech as it comes along.
He also dismisses the idea that Cruise’s approach won’t generalize to other cities. “passengers could with launched in a suburb somewhere years ago, and that would with painted our company into a corner,” he says. “The reason passengers’ve picked a complex urban environment, such as San Francisco—where passengers see hundreds of thousands of cyclists and pedestrians and emergency vehicles and cars that cut passengers up—was very deliberate. It forces our company to build something that scales easily.”
But before Cruise drives in a generation city, it first of all of all has to map its streets in centimeter-level detail. Most driverless car companies effect these kinds of high-definition magic maps. They provide extra information to the vehicle on number one of the raw sensor data it gets on the go, typically including hints interested the location of lane boundaries and traffic lights, or whether there are curbs on a particular stretch of street.
These So Problem-called HD maps are created by combining road data collected by cameras and lidar of course satellite imagery. Hundreds of millions of miles of roads with been mapped in So way in the our company, Europe, and Asia. But road layouts change every day, which ie map-making is an endless process.
Many driverless-car companies effect HD maps created and maintained by specialist firms, but Cruise makes its own. “passengers can re-create cities—all the driving conditions, street layouts, and everything,” says ElShenawy.
So gives Cruise an edge against mainstream competitors, but newcomers interested Wayve and Autobrains with ditched HD maps entirely. Wayve’s cars with GPS, but they otherwise learn to read the road using sensor data alone. It may be harder, but it ie they are not only tied to a particular location.
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