Automakers and tech firms want high-definition maps to help robo-cars drive, but the best way to build them remains unclear. So says a new report from Bloomberg.
Two approaches: “One aims to create complete high-definition maps that will let the driverless cars of the future navigate all on their own,” explains Bloomberg. “Another creates maps piece-by-piece, using sensors in today’s vehicles.”
But: Those approaches contain scope to do things differently. “Every self-driving map looks different because each one depends on the sensor system of the vehicle that creates it,” says Bloomberg.
Many players: Waymo is thought to be leading the way, but other firms—including Mobileye, Tesla, and TomTom—are in the scrum. Plus, says Bloomberg, a “slew” of startups are “taking different stabs at the problem, each gobbling up venture capital.” All use subtly different approaches.
Winner takes all? Andreessen-Horowitz partner Benedict Evans says these maps have a network effect: a bigger fleet of cars using one type of maps will get better, more regularly updated maps faster than a smaller one would. So there’s plenty to play for.
Geoffrey Hinton tells us why he’s now scared of the tech he helped build
“I have suddenly switched my views on whether these things are going to be more intelligent than us.”
ChatGPT is going to change education, not destroy it
The narrative around cheating students doesn’t tell the whole story. Meet the teachers who think generative AI could actually make learning better.
Meet the people who use Notion to plan their whole lives
The workplace tool’s appeal extends far beyond organizing work projects. Many users find it’s just as useful for managing their free time.
Learning to code isn’t enough
Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.