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.
Original language | English |
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Title of host publication | International Micro Air Vechicle Competition and Conference 2016 |
Subtitle of host publication | Beijing, China |
Editors | Zhihong Peng, Feng Lin |
Pages | 307-313 |
Publication status | Published - 2016 |
Event | International Micro Air Vechicle Competition and Conference 2016 - Beijing, China Duration: 17 Oct 2016 → 21 Oct 2016 http://www.imavs.org/2016/ |
Conference
Conference | International Micro Air Vechicle Competition and Conference 2016 |
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Abbreviated title | IMAV2016 |
Country/Territory | China |
City | Beijing |
Period | 17/10/16 → 21/10/16 |
Internet address |