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Object shape recognition using electric sense and ellipsoid's polarization tensor

Authors :
Frédéric Boyer
Sylvain Lanneau
Vincent Lebastard
Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN)
Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN)
Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)
Source :
ICRA, 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016, Stockholm, Sweden. pp.4692-4699, ⟨10.1109/ICRA.2016.7487670⟩
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

International audience; — This paper deals with the geometrical properties of an ellipsoidal object (aspect ratio, volume, orientation) estimation with an underwater sensor inspired by the uncommon sense of the electric fish. The proposed method first locates the object independently of its geometrical properties thanks to the MUSIC (MUltiple SIgnal Classification) algorithm and then, estimates the geometrical properties using an optimization method and the object's electrical response model. The simulation results show the relevance of the method.

Details

ISBN :
978-1-4673-8026-3
ISBNs :
9781467380263
Database :
OpenAIRE
Journal :
2016 IEEE International Conference on Robotics and Automation (ICRA)
Accession number :
edsair.doi.dedup.....ddbd31b0a532d103049a73085b61646e