Extraction of Relative Proximity from Electrostatic Images Using Wide-Field Integration Methods

被引：0

作者：

Dimble, Kedar D. ^{[1
]}

Faddy, James M. ^{[1
]}

Humbert, J. Sean ^{[1
]}

机构：

[1] Univ Maryland, Dept Aerosp Engn, Autonomous Vehicle Lab, College Pk, MD 20742 USA

来源：

2010 AMERICAN CONTROL CONFERENCE | 2010年

关键词：

ACTIVE ELECTROLOCATION; OBJECTS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：6004 / 6009

页数：6

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