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GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

Home Page: http://prg.cs.umd.edu/GapFlyt.html

License: BSD 3-Clause "New" or "Revised" License

MATLAB 16.13% M 0.06% Shell 0.57% Makefile 1.31% Python 42.43% C++ 39.50%
quadrotor autonomous unmanned-aerial-vehicle robotics robot drone gap detection gapflyt parrot-bebop

gapflyt's Introduction

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight: Wiki

GapFlyt by Perception & Robotics Group at the Department of Computer Science, University of Maryland- College Park.

Check out the Wiki for the Hardware and Software setup.

Check out our Youtube video which depicts the proposed framework of a bio-inspired perceptual design for quadrotors.

GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight

We use this bio-inspired philosophy to design a minimalist sensori-motor framework for a quadrotor to fly though unknown gaps without a 3D reconstruction of the scene using only a monocular camera and onboard sensing. We successfully evaluate and demonstrate the proposed approach in many real-world experiments with different settings and window shapes, achieving a success rate of 85% at 2.5m/s, even with a minimum tolerance of just 5cm.

Publication:

If you find our work useful please do cite us as follows:

@article{sanket2018gapflyt,
  title={GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight},
  author={Sanket, Nitin J and Singh, Chahat and Ganguly, Kanishka and Ferm{\"u}ller, Cornelia and Aloimonos, Yiannis},
  journal={IEEE Robotics and Automation Letters},
  year={2018},
  publisher={IEEE}
}

Maintainers:

License:

Copyright (c) 2018 Perception and Robotics Group (PRG)

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