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