Segnet tagged posts

Teaching Machines to See

This is an example of SegNet in action: the separate components of the road scene are all labelled in real time. Credit: Alex Kendall

This is an example of SegNet in action: the separate components of the road scene are all labelled in real time. Credit: Alex Kendall

New smartphone-based system could accelerate development of driverless cars. 2 newly-developed systems for driverless cars can identify a user’s location and orientation in places where GPS does not function, and identify the various components of a road scene in real time on a regular camera or smartphone, performing the same job as sensors costing tens of thousands of pounds.

Although the systems cannot currently control a driverless car, the ability to make a machine ‘see’ and accurately identify where it is and what it’s looking at is a vital part of developing autonomous vehicles and robotics...

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