Teaching drones to fly in cities by emulating cars and bikes

From Davide Scaramuzza:

I am happy to share the paper, dataset, code and video "Dronet: Learning to Fly by Driving", where we use Deep Neural Networks to teach drones to navigate autonomously in the streets of a city by imitating cars and bicycles, thus respecting traffic rules!

Views: 621

Comment by Andreas Gazis on January 25, 2018 at 9:44am

Holy cow, this is spectacular! This being ETH Zurich, I presume they used PX4?

Comment by robert bouwens on January 25, 2018 at 10:01am

listen to the dialect - züri nord - the eth is close.

but it is a bebop 2 ;-)

Comment by Andreas Gazis on January 25, 2018 at 11:05am

Well, it's coming from the Robotics and Perception Group of ETH. PX4 is from the Computer Vision and Geometry Group of ETH.

The Bebop can run the original Parrot, PX4 and Arducopter software stacks. My guess is that these guys being ETHians would probably have gone for PX4.

Comment by andre van calster on January 28, 2018 at 2:51am



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