University of Cambridge tech teaches cars, robots to see

One of the more difficult things to teach a machine is how to see. Giving the gift of sight is more than hardware, as it requires the ability to identify, categorize, and utilize the objects noted in the machine’s surrounds. Researchers at the University of Cambridge have developed two technologies that use deep learning for robotic sight. The researchers are focused on making the technologies usable for driverless cars (autonomous vehicles) and for self-contained robotics. Many other applications, including augmented reality and even surveillance or security cameras could also benefit from these lines of research. The two technologies being developed are SegNet and an unnamed localization system. SegNet is a real-time object recognition application that labels objects more correctly than even the most advanced radar systems on today’s semi-autonomous cars.…

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