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Vision-Controlled Micro Flying Robots

Davide Scaramuzza, Michael Achtelik, Lefteris Doitsidis, Friedrich Fraundorfer, Elias B. Kosmatopoulos, Agostino Martinelli, Markus Achtelik, Margarita Chli, Savvas A. Chatzichristofis, Laurent Kneip, Daniel Gurdan, Lionel Heng, Gim Hee Lee, Simon Lynen, Lorenz Meier, Marc Pollefeys, Alessandro Renzaglia, Roland Siegwart, Jan Stumpf, Petri Tanskanen

Year
2014
Citations
5

Abstract

utonomous microhelicopters will soon play a major role in tasks like search and rescue, environment monitoring, security surveillance, and inspection. If they are further realized in small scale, they can also be used in narrow outdoor and indoor environments and represent only a limited risk for people. However, for such operations, navigating based only on global positioning system (GPS) information is not sufficient. Fully autonomous operation in cities or other dense environments requires microhelicopters to fly at low altitudes, where GPS signals are often shadowed, or indoors and to actively explore unknown environments while avoiding collisions and creating maps. This involves a number of challenges on all levels of helicopter design, perception, actuation, control, and navigation, which still have to be solved. The Swarm of Micro Flying Robots (SFLY) project was a European Union–funded project with the goal of creating a swarm of vision-controlled microaerial vehicles (MAVs) capable of autonomous navigation, three-dimensional (3-D) mapping, and optimal

Keywords

Computer visionRobotArtificial intelligenceComputer science

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