Multi-Target Tracking for Swarm vs. Swarm UAV Systems
Approved for public release; distribution is unlimited === Unmanned systems, including unmanned aerial vehicles (UAVs), are developing technologies that are becoming increasingly important. This thesis provides a model for generating a common operational picture (COP) for unmanned systems that is ap...
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2012
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ndltd-nps.edu-oai-calhoun.nps.edu-10945-174622015-08-06T16:03:06Z Multi-Target Tracking for Swarm vs. Swarm UAV Systems Soylu, Umit Chung, Timothy H. Young, Joel Computer Science Approved for public release; distribution is unlimited Unmanned systems, including unmanned aerial vehicles (UAVs), are developing technologies that are becoming increasingly important. This thesis provides a model for generating a common operational picture (COP) for unmanned systems that is applicable in todayメs technology, and presents results and analysis based on simulation studies. This thesis specifically investigates a swarm versus swarm unmanned systems scenario in which opposing teams of UAVs approach each other. Different methodologies for generating a COP from the perspective of a given team are investigated, and a simulation is designed to explore the performance of the selected strategies for performing multi-target tracking. The results of the simulation show the performance of the presented approach where targets are assumed in the field of view of the tracking agents, false detections may or may not be present, and all entities maneuver according to nondeterministic motion models. 2012-11-14T00:03:05Z 2012-11-14T00:03:05Z 2012-09 Thesis http://hdl.handle.net/10945/17462 This publication is a work of the U.S. Government as defined
in Title 17, United States Code, Section 101. As such, it is in the
public domain, and under the provisions of Title 17, United States
Code, Section 105, is not copyrighted in the U.S. Monterey, California. Naval Postgraduate School |
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description |
Approved for public release; distribution is unlimited === Unmanned systems, including unmanned aerial vehicles (UAVs), are developing technologies that are becoming increasingly important. This thesis provides a model for generating a common operational picture (COP) for unmanned systems that is applicable in todayメs technology, and presents results and analysis based on simulation studies. This thesis specifically investigates a swarm versus swarm unmanned systems scenario in which opposing teams of UAVs approach each other. Different methodologies for generating a COP from the perspective of a given team are investigated, and a simulation is designed to explore the performance of the selected strategies for performing multi-target tracking. The results of the simulation show the performance of the presented approach where targets are assumed in the field of view of the tracking agents, false detections may or may not be present, and all entities maneuver according to nondeterministic motion models. |
author2 |
Chung, Timothy H. |
author_facet |
Chung, Timothy H. Soylu, Umit |
author |
Soylu, Umit |
spellingShingle |
Soylu, Umit Multi-Target Tracking for Swarm vs. Swarm UAV Systems |
author_sort |
Soylu, Umit |
title |
Multi-Target Tracking for Swarm vs. Swarm UAV Systems |
title_short |
Multi-Target Tracking for Swarm vs. Swarm UAV Systems |
title_full |
Multi-Target Tracking for Swarm vs. Swarm UAV Systems |
title_fullStr |
Multi-Target Tracking for Swarm vs. Swarm UAV Systems |
title_full_unstemmed |
Multi-Target Tracking for Swarm vs. Swarm UAV Systems |
title_sort |
multi-target tracking for swarm vs. swarm uav systems |
publisher |
Monterey, California. Naval Postgraduate School |
publishDate |
2012 |
url |
http://hdl.handle.net/10945/17462 |
work_keys_str_mv |
AT soyluumit multitargettrackingforswarmvsswarmuavsystems |
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