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Title: Vision-based obstacle avoidance

Patent ·
OSTI ID:908338
 [1]
  1. Los Alamos, NM
+ Show Author Affiliations

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.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
W-7405-ENG-36
Assignee:
The Regents of the University of California (Los Alamos, NM)
Patent Number(s):
7,079,924
Application Number:
10/689,924
OSTI ID:
908338
Country of Publication:
United States
Language:
English

References (12)

Map based navigation of the mobile robot using omnidirectional image sensor COPIS conference January 1992
The interpretation of a moving retinal image
  • Longuet-Higgins, Hugh Christopher; Prazdny, K.
  • Proceedings of the Royal Society of London. Series B. Biological Sciences, Vol. 208, Issue 1173, p. 385-397 https://doi.org/10.1098/rspb.1980.0057
journal July 1980
A selection model for motion processing in area MT of primates journal February 1995
Real-time obstacle avoidance using central flow divergence, and peripheral flow journal January 1998
Decoding population codes conference January 2000
Model for the computation of self-motion in biological systems journal January 1992
Map-based navigation for a mobile robot with omnidirectional image sensor COPIS journal January 1995
A model for the estimate of local image velocity by cells in the visual cortex journal March 1990
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
Sparse Coding of Faces in a Neuronal Model: Interpreting Cell Population Response in Object Recognition book January 1997

Similar Records

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Related Subjects

42 ENGINEERING