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Author Kassas, Z.M. ♦ Ozguner, U. ♦ Layne, J.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2004
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword State estimation ♦ Bayesian methods ♦ Filters ♦ Unmanned aerial vehicles ♦ Vehicle detection ♦ Gaussian noise ♦ Mean square error methods ♦ Remotely operated vehicles ♦ Mobile robots ♦ Cost function
Abstract This paper presents a novel approach for estimating out-of-surveillance mobile ground target states. The proposed algorithm introduces the concepts of hospitability and synthetic inclination maps and embeds them into a nonlinear Bayesian estimation filter, which in turn produces optimal target state estimates for a given out-of-surveillance mobile ground target of interest The optimality criterion here is defined in the minimum mean square error sense. Loosely speaking, the hospitability map can be viewed as a terrain-based map defining likelihood or a "weight" for each point on the earth's surface proportional to the ability of the target to move and maneuver at that location. On the other hand, the synthetic inclination map describes how the target favors certain regions within the search area, hence being "synthetically" inclined to move towards them.
Description Author affiliation: Dept. of Electr. & Comput. Eng., Ohio State Univ., Columbus, OH, USA (Kassas, Z.M.; Ozguner, U.)
ISBN 0780386825
ISSN 01912216
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2004-12-14
Publisher Place Bahamas
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 343.77 kB
Page Count 6
Starting Page 710
Ending Page 715

Source: IEEE Xplore Digital Library