Smartphone-based object recognition paves way for driverless cars

Smartphone-based systems capable of locating a user outside of the reach of the GPS signal and recognising objects on the road have been developed, paving the way for more cost-effective technologies for driverless cars.  Costing a fraction of the price of currently available sensors, the technologies developed by the University of Cambridge can not only find the location but also identify various components of the road scene in real time. The first of the freely available systems, dubbed SegNet, can take an image of a street scene and sort objects into 12 different categories, such as the road, street signs, buildings, pedestrians or cyclists. Operating in real time, the system showed higher reliability in trials than extremely costly laser and radar-based sensors that are currently in use. These results could…


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