Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach

Samuel Rodriguez; Jory Denny; Takis Zourntos; Nancy M. Amato

doi:10.1007/978-3-642-16958-8_9

Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach

Samuel Rodriguez, Jory Denny, Takis Zourntos, Nancy M. Amato

Research output: Chapter in Book/Report/Conference proceeding › Chapter

8 Scopus citations

Abstract

In 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.

Original language	English (US)
Title of host publication	Lecture Notes in Computer Science
Publisher	Springer Nature
Pages	82-93
Number of pages	12
ISBN (Print)	9783642169571
DOIs	https://doi.org/10.1007/978-3-642-16958-8_9
State	Published - 2010
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUS-C1-016-04
Acknowledgements: This 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.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1007/978-3-642-16958-8_9

Cite this

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title = "Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach",

abstract = "In 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. {\textcopyright} 2010 Springer-Verlag Berlin Heidelberg.",

author = "Samuel Rodriguez and Jory Denny and Takis Zourntos and Amato, {Nancy M.}",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUS-C1-016-04 Acknowledgements: This 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2010",

doi = "10.1007/978-3-642-16958-8_9",

language = "English (US)",

isbn = "9783642169571",

pages = "82--93",

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AU - Rodriguez, Samuel

AU - Denny, Jory

AU - Zourntos, Takis

AU - Amato, Nancy M.

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): KUS-C1-016-04 Acknowledgements: This 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. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2010

Y1 - 2010

N2 - In 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.

AB - In 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.

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SP - 82

EP - 93

BT - Lecture Notes in Computer Science

PB - Springer Nature

ER -

Toward Simulating Realistic Pursuit-Evasion Using a Roadmap-Based Approach

Abstract

Bibliographical note

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