Publication:
Particle filter based tracking in a detection sparse discrete event simulation environment

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Authors
Borovies, Drew A.
Subjects
Advisors
Darken, Christian
Date of Issue
2007-03
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
One of the key abilities of agents in military simulations is to react to both detections of and counter-detections by other agents in the environment. While methods have been developed to model these detections and counter-detections, the majority of these methods model detection and counter-detection as an all or nothing prospect in which an un-detected entity at some point crosses an arbitrary threshold of observability and becomes fully detected. In actuality, even extremely uncertain or incomplete detections and counter-detections of opposing entities can provide enough data for entities to make reasonably intelligent decisions on the virtual battlefield. Recent developments in commercial gaming artificial intelligence suggest that particle-based tracking techniques can provide accurate and computationally efficient state estimation of opposing agents within virtual environments. In this work several particle-based methods for obtaining and tracking contacts are explored to determine the feasibility of their use as a general purpose tracking technique in military simulations.
Type
Thesis
Description
Series/Report No
Department
Modeling, Virtual Environments and Simulation (MOVES)
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
xiv, 117 p. : col. ill. ;
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
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