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dc.contributor.authorRodriguez, Samuel
dc.contributor.authorDenny, Jory
dc.contributor.authorZourntos, Takis
dc.contributor.authorAmato, Nancy M.
dc.date.accessioned2016-02-28T06:35:00Z
dc.date.available2016-02-28T06:35:00Z
dc.date.issued2010
dc.identifier.citationRodriguez S, Denny J, Zourntos T, Amato NM (2010) Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach. Lecture Notes in Computer Science: 82–93. Available: http://dx.doi.org/10.1007/978-3-642-16958-8_9.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-642-16958-8_9
dc.identifier.urihttp://hdl.handle.net/10754/600047
dc.description.abstractIn this work, we describe an approach for modeling and simulating group behaviors for pursuit-evasion that uses a graph-based representation of the environment and integrates multi-agent simulation with roadmap-based path planning. We demonstrate the utility of this approach for a variety of scenarios including pursuit-evasion on terrains, in multi-level buildings, and in crowds. © 2010 Springer-Verlag Berlin Heidelberg.
dc.description.sponsorshipThis research supported in part by NSF awards CRI-0551685, CCF-0833199, CCF-0830753, IIS-096053, IIS-0917266, NSF/DNDO award 2008-DN-077-ARI018-02, by the DOE NNSA under the Predictive Science Academic Alliances Program by grantDE-FC52-08NA28616, by THECB NHARP award 000512-0097-2009, by Chevron, IBM, Intel, HP, Oracle/Sun and by King Abdullah University of Science and Technology (KAUST) Award KUS-C1-016-04.
dc.publisherSpringer Nature
dc.subjectMulti-Agent Simulation
dc.subjectPursuit-Evasion
dc.subjectRoadmap-based Motion Planning
dc.titleToward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach
dc.typeBook Chapter
dc.identifier.journalLecture Notes in Computer Science
dc.contributor.institutionTexas A and M University, College Station, United States
kaust.grant.numberKUS-C1-016-04


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