DroNet Uses Traffic Data to Teach Drones How to Fly in Urban Environments

While drone developers have largely relied on GPS signals to allow for autonomous navigation by unmanned aerial vehicles, the same strategy doesn’t entirely apply in urban environments. Drones have obstacle avoidance technology, yes, but this hasn’t yet arrived at the sweet-spot where UAVs can whir in between cars and pedestrians and perfectly avoid collision. The reaction time isn’t there yet, which is why the University of Zurich and the National Centre of Competence in Research (NCCR) Robotics are working on DroNet, a network allowing for safe autonomous UAV navigation through the streets of the average city …


The Drive | Jan. 23, 2018

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