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Proceedings Paper

Toward geometric decision making in unstructured environments
Author(s): Gregory D. Hager
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Paper Abstract

This paper presents an approach to sensor-based decision making in unstructured environments that relies on describing geometric structures by parameterized volumes. This approach leads to large systems of nonlinear, stochastic inequalities. We describe how these inequalities can be solved using interval bisection, discuss the structural and statistical convergence of the technique, and present some preliminary experimental results.

Paper Details

Date Published: 30 April 1992
PDF: 11 pages
Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); doi: 10.1117/12.57915
Show Author Affiliations
Gregory D. Hager, Yale Univ. (United States)


Published in SPIE Proceedings Vol. 1611:
Sensor Fusion IV: Control Paradigms and Data Structures
Paul S. Schenker, Editor(s)

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