{"id":{"repo_id":"nps","oai_identifier":"oai:calhoun.nps.edu:10945/3648"},"canonical_url":"https://search.dev.ndltd.org/etd/nps/oai:calhoun.nps.edu:10945/3648","repository":{"repo_id":"nps","name":"Naval Postgraduate School","base_url":"https://calhoun.nps.edu/server/oai/request"},"display":{"title":"Particle filter based tracking in a detection sparse discrete event simulation environment","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Borovies, Drew A."],"institution":"Monterey, California. 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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."]},{"key":"dc:title","label":"Title","values":["Particle filter based tracking in a detection sparse discrete event simulation environment"]}]}],"canonical_facts":{"dc:contributor.advisor":["Darken, Christian"],"dc:contributor.department":["Modeling, Virtual Environments and Simulation (MOVES)"],"dc:creator":["Borovies, Drew A."],"dc:date.accessioned":["2012-03-14T17:38:58Z"],"dc:date.available":["2012-03-14T17:38:58Z"],"dc:date.issued":["2007-03"],"dc:description.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. 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