Toward geometric decision making in unstructured environments

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages108-118
Number of pages11
ISBN (Print)0819407488
StatePublished - Jan 1 1992
Externally publishedYes
EventSensor Fusion IV: Control Paradigms and Data Structures - Boston, MA, USA
Duration: Nov 12 1991Nov 15 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1611
ISSN (Print)0277-786X

Other

OtherSensor Fusion IV: Control Paradigms and Data Structures
CityBoston, MA, USA
Period11/12/9111/15/91

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Hager, G. D. (1992). Toward geometric decision making in unstructured environments. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 108-118). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1611). Publ by Int Soc for Optical Engineering.