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

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-det...

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Main Author: Borovies, Drew A.
Other Authors: Darken, Christian
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/3648
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-36482014-11-27T16:04:47Z Particle filter based tracking in a detection sparse discrete event simulation environment Borovies, Drew A. Darken, Christian Buss, Arnold. Naval Postgraduate School Modeling, Virtual Environments and Simulation (MOVES) 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. 2012-03-14T17:38:58Z 2012-03-14T17:38:58Z 2007-03 Thesis http://hdl.handle.net/10945/3648 123960581 Approved for public release, distribution unlimited Monterey, California. Naval Postgraduate School
collection NDLTD
sources NDLTD
description 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.
author2 Darken, Christian
author_facet Darken, Christian
Borovies, Drew A.
author Borovies, Drew A.
spellingShingle Borovies, Drew A.
Particle filter based tracking in a detection sparse discrete event simulation environment
author_sort Borovies, Drew A.
title Particle filter based tracking in a detection sparse discrete event simulation environment
title_short Particle filter based tracking in a detection sparse discrete event simulation environment
title_full Particle filter based tracking in a detection sparse discrete event simulation environment
title_fullStr Particle filter based tracking in a detection sparse discrete event simulation environment
title_full_unstemmed Particle filter based tracking in a detection sparse discrete event simulation environment
title_sort particle filter based tracking in a detection sparse discrete event simulation environment
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/3648
work_keys_str_mv AT boroviesdrewa particlefilterbasedtrackinginadetectionsparsediscreteeventsimulationenvironment
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