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Proceedings Paper

Hyperpyramids For Vision-Driven Navigation
Author(s): R. Jain; Y. Roth-Tabak; K. Skifstad
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Paper Abstract

If an autonomous vehilce is to operate in an environment of arbitrary complexity, it must be able to perceive the locations of the obstacles in its environment and store this information in a world model. It is important that the world model be structured in such a manner that the information may be easily utilized. An object-oriented data structure called Hyper-Pyramids is presented for representing the environment in the navigation problem. A summary of preliminary research efforts on the navigation problem is also presented. This includes work on the implementation and manipulation of octtree-like data structures, and the introduction of a new technique for the recovery of depth information from grey-scale images.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947029
Show Author Affiliations
R. Jain, The University of Michigan (United States)
Y. Roth-Tabak, The University of Michigan (United States)
K. Skifstad, The University of Michigan (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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