Google’s Driverless Cars Are Becoming Masters of City Streets.
Google has stated that the cars they have programmed to drive themselves have begun to master the navigation of city streets and the challenges they came from jaywalkers to weaving bicyclist, a huge milestone for any commercially available self-driving car technology.
Despite the progress done over the past year, the cars still have plenty to learn about before their debut date of 2017, which is when tech giant company hopes to release the technology to the public.
None of the traditional automakers have been stubborn about this. Instead, they have launched out their own features, including technology that brakes and accelerates in a stop-and-go traffic or keeping cars within their own lanes.
During last weeks Wednesday, photos provided by Google have shown the Google driverless car navigating through the streets of Mountain View, California. The director of Google’s self-driving car project had written a statement on his blog, that development of the technology has entered into a new stage, trying to master driving within city streets. Much more complex than freeways, which the cars no reliably navigate, city streets represent a huge challenge.
“I think the Google technology is great stuff. But I just don’t see a quick pathway to the market,” said David Alexander, a senior analyst with Navigant Research who specializes in autonomous vehicles.
His projection is that self-driving cars will not be commercial available until 2025.
Google’s self-driving cars have already succeeded in learning how to navigate their way through freeways comfortably, albeit with a driver ready to take control at a moments notice. During the blog post, the project leader commented that test cars can no handle thousand of urban situation that would have stumped it a couple of years ago.
“We’re growing more optimistic that we’re heading toward an achievable goal — a vehicle that operates fully without human intervention,” project director Chris Urmson wrote. The benefits would include fewer accidents, since in principle machines can drive more safely than people.