DocumentCode
580716
Title
I see you, you see me: Cooperative localization through bearing-only mutually observing robots
Author
Giguere, Philippe ; Rekleitis, Ioannis ; Latulippe, Maxime
Author_Institution
Dept. d´´Inf. et de Genie Logiciel, Univ. Laval, Quebec City, QC, Canada
fYear
2012
fDate
7-12 Oct. 2012
Firstpage
863
Lastpage
869
Abstract
Cooperative localization is one of the fundamental techniques in GPS-denied environments, such as underwater, indoor, or on other planets, where teams of robots use each other to improve their pose estimation. In this paper, we present a novel schema for performing cooperative localization using bearing only measurements. These measurements correspond to the angles of pairs of landmarks located on each robot, extracted from camera images. Thus, the only exteroceptive measurements used are the camera images taken by each robot, under the condition that both cameras are mutually visible. An analytical solution is derived, together with an analysis of uncertainty as a function to the relative pose of the robots. A theoretical comparison with a standard stereo camera pose reconstruction is also provided. Finally, the feasibility and performance of the proposed method were validated, through simulations and experiments with a mobile robot setup.
Keywords
Global Positioning System; image reconstruction; image sensors; mobile robots; pose estimation; robot vision; stereo image processing; GPS denied environments; bearing only mutually observing robots; camera images; cooperative localization; exteroceptive measurements; mobile robot setup; pose estimation; stereo camera pose reconstruction; Approximation methods; Cameras; Extraterrestrial measurements; Robot vision systems; Uncertainty;
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.2012.6385965
Filename
6385965
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