Calendar An icon of a desk calendar. Cancel An icon of a circle with a diagonal line across. Caret An icon of a block arrow pointing to the right. Email An icon of a paper envelope. Facebook An icon of the Facebook "f" mark. Google An icon of the Google "G" mark. Linked In An icon of the Linked In "in" mark. Logout An icon representing logout. Profile An icon that resembles human head and shoulders. Telephone An icon of a traditional telephone receiver. Tick An icon of a tick mark. Is Public An icon of a human eye and eyelashes. Is Not Public An icon of a human eye and eyelashes with a diagonal line through it. Pause Icon A two-lined pause icon for stopping interactions. Quote Mark A opening quote mark. Quote Mark A closing quote mark. Arrow An icon of an arrow. Folder An icon of a paper folder. Breaking An icon of an exclamation mark on a circular background. Camera An icon of a digital camera. Caret An icon of a caret arrow. Clock An icon of a clock face. Close An icon of the an X shape. Close Icon An icon used to represent where to interact to collapse or dismiss a component Comment An icon of a speech bubble. Comments An icon of a speech bubble, denoting user comments. Comments An icon of a speech bubble, denoting user comments. Ellipsis An icon of 3 horizontal dots. Envelope An icon of a paper envelope. Facebook An icon of a facebook f logo. Camera An icon of a digital camera. Home An icon of a house. Instagram An icon of the Instagram logo. LinkedIn An icon of the LinkedIn logo. Magnifying Glass An icon of a magnifying glass. Search Icon A magnifying glass icon that is used to represent the function of searching. Menu An icon of 3 horizontal lines. Hamburger Menu Icon An icon used to represent a collapsed menu. Next An icon of an arrow pointing to the right. Notice An explanation mark centred inside a circle. Previous An icon of an arrow pointing to the left. Rating An icon of a star. Tag An icon of a tag. Twitter An icon of the Twitter logo. Video Camera An icon of a video camera shape. Speech Bubble Icon A icon displaying a speech bubble WhatsApp An icon of the WhatsApp logo. Information An icon of an information logo. Plus A mathematical 'plus' symbol. Duration An icon indicating Time. Success Tick An icon of a green tick. Success Tick Timeout An icon of a greyed out success tick. Loading Spinner An icon of a loading spinner. Facebook Messenger An icon of the facebook messenger app logo. Facebook An icon of a facebook f logo. Facebook Messenger An icon of the Twitter app logo. LinkedIn An icon of the LinkedIn logo. WhatsApp Messenger An icon of the Whatsapp messenger app logo. Email An icon of an mail envelope. Copy link A decentered black square over a white square.

Autonomous Toyota Prius drives 3,000 miles across the US with no driver intervention

(PA)
(PA)

An autonomous car engineer has released a time-lapse video of a Toyota Prius driving itself over 3,000 miles with no driver involvement.

Anthony Levandowski, a former Uber and Waymo engineer, released the video as a demonstration of the autonomous system developed by his own firm, Pronto AI. It shows the car covering the 3,099-mile trip from San Francisco to New York City without prompting the driver to take over once.

Levandowski surprisingly didn’t label this as a fully-autonomous Level 4 system either – simply calling it a ‘highly-capable Level 2 system’. Full details of the modifications to the car weren’t mentioned, but it’s believed that the car navigated using only video cameras, computers and digital mapping software.

In a post on Medium, Levandowski expressed frustration with car manufacturers attempting to leap directly to Level 4 autonomy. “Road safety is not something that is well-suited to sound bytes and short attention spans,” he wrote. “It involves trade-offs and important, nuanced discussions. I am disappointed in how shallow the discourse on this front has been and continues to be.”

He also noted several trends in the industry – saying that no vehicle today is truly autonomous and calling them ‘increasingly complex and expensive demonstrations’. “Today’s software is not good enough to predict the future,” he wrote. “It’s still nowhere close to matching the instincts of human drivers.

“Traditional self-driving stacks attempt to compensate for their software’s predictive shortcomings through increasingly complex hardware. Put simply, the self-driving industry has gotten two key things wrong: it’s been focused on achieving the dream of fully autonomous driving straight from manual vehicle operation, and it has chased this false dream with crutch technologies.”

Pronto AI also announced its first product based off this technology – an advanced driver assistance system built specifically for large trucks. It will roll out to the US market in early 2019.