DocumentCode
2599327
Title
Visual-inertial SLAM for a small helicopter in large outdoor environments
Author
Achtelik, Markus W. ; Lynen, Simon ; Weiss, Stephan ; Kneip, Laurent ; Chli, Margarita ; Siegwart, Roland
Author_Institution
ETH Zurich, Zurich, Swizerland
fYear
2012
fDate
7-12 Oct. 2012
Firstpage
2651
Lastpage
2652
Abstract
In this video, we present our latest results towards fully autonomous flights with a small helicopter. Using a monocular camera as the only exteroceptive sensor, we fuse inertial measurements to achieve a self-calibrating power-on-and-go system, able to perform autonomous flights in previously unknown, large, outdoor spaces. Our framework achieves Simultaneous Localization And Mapping (SLAM) with previously unseen robustness in onboard aerial navigation for small platforms with natural restrictions on weight and computational power. We demonstrate successful operation in flights with altitude between 0.2-70 m, trajectories with 350 m length, as well as dynamic maneuvers with track speed of 2 m/s. All flights shown are performed autonomously using vision in the loop, with only high-level waypoints given as directions.
Keywords
SLAM (robots); autonomous aerial vehicles; cameras; helicopters; inertial navigation; microrobots; path planning; robot vision; autonomous flights; exteroceptive sensor; helicopter; high-level waypoints; inertial measurements; monocular camera; onboard aerial navigation; outdoor environments; self-calibrating power-on-and-go system; simultaneous localization and mapping; visual-inertial SLAM; Cameras; Conferences; Helicopters; Robustness; Simultaneous localization and mapping; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
Conference_Location
Vilamoura
ISSN
2153-0858
Print_ISBN
978-1-4673-1737-5
Type
conf
DOI
10.1109/IROS.2012.6386270
Filename
6386270
Link To Document