Hyperpyramids For Vision-Driven Navigation

R. Jain; Y. Roth-Tabak; K. Skifstad

doi:10.1117/12.947029

29 March 1988 Hyperpyramids For Vision-Driven Navigation

R. Jain, Y. Roth-Tabak, K. Skifstad

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.947029
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

R. Jain, Y. Roth-Tabak, and K. Skifstad "Hyperpyramids For Vision-Driven Navigation", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.947029

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