An algorithm generated obstacle-detection system that allows a drone to autonomously dip, dart and dive through trees at 30 miles per hour, without crashing, has been developed by an MIT Ph.D. student. Andrew Barry’s drone system uses a stereo camera set up to capture 120 fps footage and map objects 33 feet in front of the drone.
Produced by Monica Manalo. Video courtesy of Reuters.
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