MIT student develops intelligent drone navigation system

Cambridge – Andrew Barry a PhD student of the MIT has designed a self-flying drone able to detect obstacles and avoid crashes while traveling at 30 miles per hour. The drone developed in the MIT’s computer Science and Artificial Intelligence lab is armed with an obstacle-detection system that easily allows it to avoid trees, or any other kind of obstacle it could find in its way within a distance of 10 meters ahead. “You don’t have to know about anything that’s closer or further than that. As you fly, you push that 10-meter horizon forward, and, as long as your first 10 meters are clear, you can build a full map of the world around you,” Barry explained. MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) built a drone that…

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