DocumentCode
3288915
Title
Extraction of relative proximity from electrostatic images using Wide-Field Integration methods
Author
Dimble, K.D. ; Faddy, J.M. ; Humbert, J.S.
Author_Institution
Dept. of Aerosp. Eng., Univ. of Maryland, College Park, MD, USA
fYear
2010
fDate
June 30 2010-July 2 2010
Firstpage
6004
Lastpage
6009
Abstract
Weakly electric fish use a self-generated electric field to interrogate the environment around them for obstacles, predators, and prey. These objects appear as spatial perturbations to an electric image formed by electro-receptors which are distributed over their bodies. The influence on an electric image, formed on a simulation model, due to the proximity of wide-field obstacles is derived here from standard principles of electrostatics. Wide-Field Integration (WFI) methods are then applied to perturbed electric images to extract relative position and orientation information, and a static output feedback methodology is presented to achieve local unmapped reflexive obstacle avoidance.
Keywords
collision avoidance; electrostatic actuators; feedback; mobile robots; perturbation theory; robot vision; underwater vehicles; WFI method; electro-receptor; electrostatic image; orientation information; perturbed electric image; position information; predator; prey; relative proximity; self-generated electric field; spatial perturbation; static output feedback; unmapped reflexive obstacle avoidance; weakly electric fish; wide-field integration; wide-field obstacle; Electric variables measurement; Electrostatics; Image sensors; Lighting; Marine animals; Output feedback; Robot sensing systems; Signal processing; Sonar navigation; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2010
Conference_Location
Baltimore, MD
ISSN
0743-1619
Print_ISBN
978-1-4244-7426-4
Type
conf
DOI
10.1109/ACC.2010.5531269
Filename
5531269
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