skip to main content
10.1145/3348488.3348489acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaivrConference Proceedingsconference-collections
research-article

Agent-based MR Simulation as a Tool for Combat Search and Rescue Command and Control

Published: 27 July 2019 Publication History

Abstract

Combat search and rescue(CSAR) is a significant part of joint combat operation. The isolated personnel in hostile territory is of great value to both sides. For the sake of extremely high cost and massive consumption of time in military exercises, virtual reality is a preferred way to conduct the experiment. Mixed reality, known as MR, allows users to interact with the virtual objects, as well as the real objects. With MR devices, commanders get a better awareness of both virtual combat and real environment. Agent-based modelling is a relatively new approach to modelling systems composed of interacting objects. By analyzing the decision-making process of agents, codes are written to drive the simulation. Finally, the whole system is applied to HoloLens to provide a holographic demonstration.

References

[1]
Joint Chiefs of Staff (1998). Joint Tactics, Techniques, and Procedures for Combat Search and Rescue.
[2]
P. Milgram and A. F. Kishino (1994). Taxonomy of Mixed Reality Visual Displays. IEICE Transactions on Information and Systems. pp. 1321--1329. Retrieved 2013-10-17.
[3]
Nwana, H.S. (1996). Software Agents: An Overview. Knowledge Engineering Review. 21 (3): 205--244.
[4]
CM Macal and MJ North (2010). Tutorial on agent-based modelling and simulation, Journal of Simulation (2010) 4, 151--162.
[5]
J. V. Kitowski (1992). "Combat Effectiveness Methodology as a Tool for Conceptual Fighter Design". Aerospace Design Conference, Meeting Paper Archive.
[6]
Sun, X., Liu, H., Wu, G.H. and Zhou, Y.M. 2018. Training effectiveness evaluation of helicopter emergency relief based on virtual simulation. Chinese Journal of Aeronautics.
[7]
Fu L. Application of virtual reality technology in simulation experiments of fire-fighting and rescue. Experimental Technology & Management, 2015.
[8]
Luo, M.Q., Yin, J. and Sun, C.W. 2014. Wind Simulation Modelling Technology in Plateau Mountain for Helicopter. Helicopter Technique (May 2014), 25--30.
[9]
Darrel D. Whitcomb, Forrest L. Marion. Team Sport, Combat Search and Rescue over Serbia, 1999. AIR POWER History / FALL 2014.
[10]
Darrel Whitcomb. THE NIGHT THEY: Saved Vega 31 The rescue of F-117 pilot Dale Zelko was a close-run thing. AIR FORCE Magazine / December 200672.
[11]
Tian, Y.F., Liu, H., Luo, M.Q., Huang, J. Non uniform hybrid strategy for architecting and modeling. Chinese Journal of Aeronautics, (2016), 29(1): 160--172.

Cited By

View all
  • (2024)Touch to Learn: A Review of Haptic Technology's Impact on Skill Development and Enhancing Learning Abilities for ChildrenAdvanced Intelligent Systems10.1002/aisy.2023007316:6Online publication date: 7-May-2024

Index Terms

  1. Agent-based MR Simulation as a Tool for Combat Search and Rescue Command and Control

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    AIVR 2019: Proceedings of the 2019 3rd International Conference on Artificial Intelligence and Virtual Reality
    July 2019
    80 pages
    ISBN:9781450371612
    DOI:10.1145/3348488
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

    In-Cooperation

    • Nanyang Technological University
    • University of Tsukuba: University of Tsukuba

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 July 2019

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Agent-based modelling
    2. Combat search and rescue
    3. Finite-state machine
    4. Kosovo war
    5. Mixed reality

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    AIVR 2019

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)8
    • Downloads (Last 6 weeks)1
    Reflects downloads up to 01 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Touch to Learn: A Review of Haptic Technology's Impact on Skill Development and Enhancing Learning Abilities for ChildrenAdvanced Intelligent Systems10.1002/aisy.2023007316:6Online publication date: 7-May-2024

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media