[robotics-worldwide] [software] Release of the Source Code of "DroNet: Learning to Fly by Driving"

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view

[robotics-worldwide] [software] Release of the Source Code of "DroNet: Learning to Fly by Driving"

Davide Scaramuzza
Dear colleague,

We are excited to release open-source our deep-learning project for
autonomous drone navigation in city streets, called "DroNet".

Due to the danger that flying a drone can cause in urban environments,
collecting training data results impossible. For this reason, DroNet
learns how to fly by imitating the behavior of manned vehicles (cars and
bicycles), which are already integrated in urban environments. Designed
as a fast 8-layers residual network, DroNet produces two outputs for
each single input image: a steering angle (to keep the drone navigating
while avoiding obstacles) and a collision probability (to let the drone
recognize dangerous situations and promptly react to them).

The DroNet project is well documented and easy to use. The detailed
README.md explains how to run the algorithms, train it, and test it. In
addition, information on how to download and pre-process the datasets is

The project is released under the MIT License.

For links to the open source library, tutorial page, datasets, trained
networks, reference paper, and supplementary video, please visit the
DroNet project page: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_dronet.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=yAsL_oEKlnmPawllW85mSv4IvWUuwrzuikUrUPJ3MNY&s=XMmB59dEYNDXlmzkkCm5pt_KjLq9hlQjknBwAWClv2U&e=

This project will also be presented at this year's IEEE International
Conference on Robotics and Automation, in Brisbane

Antonio Loquercio, Ana Isabel Maqueda, Carlos Roberto del Blanco, Davide
DroNet: Learning to Fly by Driving
IEEE Robotics and Automation Letters, January 22, 2018
DOI: 10.1109/LRA.2018.2795643

Best regards,

The authors: Antonio Loquercio, Ana Maqueda, Carlos del Blanco, and
Davide Scaramuzza


Prof. Dr. Davide Scaramuzza
Director of the Robotics and Perception Group: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_people-5Fscaramuzza.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=yAsL_oEKlnmPawllW85mSv4IvWUuwrzuikUrUPJ3MNY&s=v9yjS5sWFw_nq0HVOXi7Kob4byKjRgoKFyvMZR3dT3U&e=
Inst. of Neuroinformatics, University of Zurich and ETH Zurich
Inst. of Informatics, University of Zurich,
Andreasstrasse 15, AND 2.10, Zurich, Switzerland

robotics-worldwide mailing list
[hidden email]