Autonomous drone can avoid obstacles even in unfamiliar environments
Andrew Barry, a PhD student at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), has developed a detection algorithm that allows UAVs to avoid objects on their own. Even better, it works even if the planes don’t have existing knowledge/data about a particular location. Barry believes an algorithm faster than existing ones is necessary for truly autonomous drones. LIDAR laser systems, he said, are typically too heavy for small, personal UAVs, while current algorithms are too slow to match their speed.
Source: CSAIL
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