Visual Homing for Micro Aerial Vehicles using Scene Familiarity

Conference Paper (2016)
Author(s)

G.J.J. van Dalen

Kimberly N. McGuire (TU Delft - Control & Simulation)

G. C. H. E. de Croon (TU Delft - Control & Simulation)

Copyright
© 2016 G.J.J. van Dalen, K.N. McGuire, G.C.H.E. de Croon
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 G.J.J. van Dalen, K.N. McGuire, G.C.H.E. de Croon
Pages (from-to)
307-313
Reuse Rights

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Abstract

Autonomous navigation is a major challenge in the development of Micro Aerial Vehicles (MAVs). Especially when an algorithm has to be efficient, insect intelligence can be a source of inspiration. An elementary navigation task is homing, which means autonomously returning to the initial location. A promising approach uses learned visual familiarity of a route to determine reference headings during homing. In this paper an existing biological proof-of-concept is transferred to an algorithm for micro drones, using vision-in-the-loop experiments in indoor environments. An artificial neural network determines which control actions to take.

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