New Driverless Car Tech Teaches Machines to “See”

University of Cambridge researchers have developed two new systems for driverless cars that can identify a user’s location and orientation in places where GPS does not work well and identify the various components of a road scene in real time on a regular camera or smartphone – in essence performing the same job as sensors that cost tens of thousands of dollars. The systems cannot currently control a driverless car, but the ability to make a machine ‘see’ and identify where it is and what it’s looking at is a vital aspect of autonomous vehicle development. The first system, called SegNet, can take an image of a street it hasn’t seen before and classify it by sorting its surrounding objects into 12 different categories like roads, street signs, pedestrians, buildings…


Link to Full Article: New Driverless Car Tech Teaches Machines to “See”