Drone autonomously dips, darts and dives through trees at 30 MPH
Andrew Barry, a researcher from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), has developed an obstacle-detection system that allows a drone to autonomously dip, dart and dive through a tree-filled field at upwards of 30 miles per hour without Lidar or Kinect hardware.
Running 20 times faster than existing software, Barry’s stereo-vision algorithm allows the drone to detect objects and build a full map of its surroundings in real-time. Operating at 120 frames per second, the software - which is open-source and available online - extracts depth information at a speed of 8.3 milliseconds per frame. See the drone in action below:
The onewing, which weighs just over a pound and has a 34-inch wingspan, was made from off-the-shelf components costing about $1,700, including a camera on each wing and two processors no fancier than the ones you’d find on a cellphone.
[Andrew Barry] [via Robotics Trends] [CSAIL] [github] [paper]
未來天網派出這種飛機我們就死定了！
via Tumblr http://ift.tt/1WYe087
沒有留言:
張貼留言