DocumentCode :
2410623
Title :
Localization of small objects with electric sense based on kalman filter
Author :
Lebastard, V. ; Chevallereau, C. ; Girin, A. ; Boyer, F. ; Gossiaux, P.B.
Author_Institution :
IRCCyN-Ecole des Mines de Nantes, Nantes, France
fYear :
2012
fDate :
14-18 May 2012
Firstpage :
1137
Lastpage :
1142
Abstract :
Electric fish feel the perturbations of a self-generated electric field through their electro-receptive skin. This sense allows them to navigate and reconstruct their environment in conditions where vision and sonar cannot work. In this article, we use a sensor bio-inspired from this active sense to address the problem of small objects reconstruction and electrolocation. Based on a Kalman filter, any small object in the surrounding of the motion controlled sensor can be encapsulated into an equivalent sphere whose location is well estimated by the filter. Experimental results illustrate the feasibility of the approach.
Keywords :
Kalman filters; autonomous underwater vehicles; biomimetics; electric field measurement; electric sensing devices; mobile robots; motion control; object detection; Kalman filter; active sensing; autonomous underwater vehicle; bio-inspired sensor; electric fish; electric sense; electro-receptive skin; environment reconstruction; motion controlled sensor; navigation; self-generated electric field perturbation; small object electrolocation; small object localization; small object reconstruction; Current measurement; Electrodes; Kalman filters; Probes; Robot sensing systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location :
Saint Paul, MN
ISSN :
1050-4729
Print_ISBN :
978-1-4673-1403-9
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ICRA.2012.6224824
Filename :
6224824
Link To Document :
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