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:
-
- 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
- Yagi, Y.; Nishizawa, Y.; Yachida, M.
- Proceedings 1992 IEEE International Conference on Robotics and Automation
A selection model for motion processing in area MT of primates
journal, February 1995
- Nowlan, Sj; Sejnowski, Tj
- The Journal of Neuroscience, Vol. 15, Issue 2
Decoding population codes
conference, January 2000
- Wilson, R. C.; Ludtke, N.
- Proceedings 15th International Conference on Pattern Recognition. ICPR-2000
Model for the computation of self-motion in biological systems
journal, January 1992
- Perrone, John A.
- Journal of the Optical Society of America A, Vol. 9, Issue 2
Map-based navigation for a mobile robot with omnidirectional image sensor COPIS
journal, January 1995
- Yagi, Y.; Nishizawa, Y.; Yachida, M.
- IEEE Transactions on Robotics and Automation, Vol. 11, Issue 5
The Effect of Correlated Variability on the Accuracy of a Population Code
journal, January 1999
- Abbott, L. F.; Dayan, Peter
- Neural Computation, Vol. 11, Issue 1
Spatiotemporal energy models for the perception of motion
journal, January 1985
- Adelson, Edward H.; Bergen, James R.
- Journal of the Optical Society of America A, Vol. 2, Issue 2
Estimating location and avoiding collision against unknown obstacles for the mobile robot using omnidirectional image sensor COPIS
conference, January 1991
- Yagi, Y.; Nishizawa, Y.; Yachida, M.
- Proceedings IROS '91:IEEE/RSJ International Workshop on Intelligent Robots and Systems '91