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Title: Vision-based obstacle avoidance

Abstract

A method for allowing a robot to avoid objects along a programmed path: first, a field of view for an electronic imager of the robot is established along a path where the electronic imager obtains the object location information within the field of view; second, a population coded control signal is then derived from the object location information and is transmitted to the robot; finally, the robot then responds to the control signal and avoids the detected object.

Inventors:
 [1]
  1. Los Alamos, NM
Issue Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
908338
Patent Number(s):
7079924
Application Number:
10/689,924
Assignee:
The Regents of the University of California (Los Alamos, NM)
Patent Classifications (CPCs):
G - PHYSICS G05 - CONTROLLING G05D - SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
DOE Contract Number:  
W-7405-ENG-36
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING

Citation Formats

Galbraith, John. Vision-based obstacle avoidance. United States: N. p., 2006. Web.
Galbraith, John. Vision-based obstacle avoidance. United States.
Galbraith, John. Tue . "Vision-based obstacle avoidance". United States. https://www.osti.gov/servlets/purl/908338.
@article{osti_908338,
title = {Vision-based obstacle avoidance},
author = {Galbraith, John},
abstractNote = {A method for allowing a robot to avoid objects along a programmed path: first, a field of view for an electronic imager of the robot is established along a path where the electronic imager obtains the object location information within the field of view; second, a population coded control signal is then derived from the object location information and is transmitted to the robot; finally, the robot then responds to the control signal and avoids the detected object.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2006},
month = {7}
}

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Works referenced in this record:

Map based navigation of the mobile robot using omnidirectional image sensor COPIS
conference, January 1992


A selection model for motion processing in area MT of primates
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Decoding population codes
conference, January 2000


Model for the computation of self-motion in biological systems
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Map-based navigation for a mobile robot with omnidirectional image sensor COPIS
journal, January 1995


The Effect of Correlated Variability on the Accuracy of a Population Code
journal, January 1999


Spatiotemporal energy models for the perception of motion
journal, January 1985


Estimating location and avoiding collision against unknown obstacles for the mobile robot using omnidirectional image sensor COPIS
conference, January 1991