Visual homing using an associative memory
- 1 August 1991
- journal article
- research article
- Published by Springer Nature in Biological Cybernetics
- Vol. 65 (4) , 281-291
- https://doi.org/10.1007/bf00206225
Abstract
Homing is the process by which an autonomous system guides itself to a particular location on the basis of sensory input. In this paper, a method of visual homing using an associative memory based on a simple pattern classifier is described. Homing is accomplished without the use of an explicit world model by utilizing direct associations between learned visual patterns and system motor commands. The method is analyzed in terms of a pattern space and conditions obtained that allow the system performance to be predicted on the basis of statistical measurements on the environment. Results of experiments utilizing the method to guide a robot-mounted camera in a three-dimensional environment are presented.Keywords
This publication has 8 references indexed in Scilit:
- An operational perception system for cross-country navigationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Obstacle avoidance using flow field divergencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Finding motion parameters from spherical motion fields (or the advantages of having eyes in the back of your head)Biological Cybernetics, 1988
- A visual navigation system for autonomous land vehiclesIEEE Journal on Robotics and Automation, 1987
- Toward memory-based reasoningCommunications of the ACM, 1986
- Content-Addressable MemoriesPublished by Springer Nature ,1980
- The Interpretation of Visual MotionPublished by MIT Press ,1979
- Associative MemoryPublished by Springer Nature ,1977