Skip to main content

Autonomous Systems Operationalization Gaps Overcome by Modelling and Simulation

  • Conference paper
  • First Online:
Modelling and Simulation for Autonomous Systems (MESAS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9991))

Abstract

Systems with some level of Autonomy Capabilities or Semi-Autonomous Systems (SAS) are already an integral part of our life. Fully Autonomous Systems (AS) without any human in the loop are more commonly seen in the civilian sphere. However the military still needs to make a gigantic step toward to implementation of AS in the battlefield. Modeling and Simulation (M&S) and its techniques might help to understand us more quickly in the save environment the potential consequences of ASs deployment from the military perspective. The paper describes a selected set of gaps in the AS operationalization and potential solutions provided by the MS tools and techniques are discussed. The idea of the Augmented Autonomous System Reality is introduced and the way of synthetic environment description needed for the AS operationalization is described. In the end the importance of the Verification Validation and Accreditation process in the AS domain is discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bruzzone, A.G., Longo, F., Agresta, M., Di Matteo, R., Maglione, G.L.: Autonomous systems for operations in critical environments. In: Proceedings of Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems 2016 (MSCIAAS 2016) and Space Simulation for Planetary Space Exploration (SPACE 2016), p. 3. Society for Computer Simulation International (2016, April)

    Google Scholar 

  2. Guizzo, E.: How google’s self-driving car works. IEEE Spectrum Online, vol. 18, October 2011

    Google Scholar 

  3. Hodicky, Jan: HLA as an experimental backbone for autonomous system integration into operational field. In: Hodicky, Jan (ed.) MESAS 2014. LNCS, vol. 8906, pp. 121–126. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  4. Pasciuto, M., Riccardi, G., Galati, P., Pusceddu, F., Nurra, P., Goiak, M., Banfi, E., Grimaccia, F., Alviani, P., Romano, M.: MedALE RTS campaign: data analysis and reporting. In: Hodicky, J. (ed.) MESAS 2015. LNCS, vol. 9055, pp. 102–127. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  5. Collins, K., Goossens, B.: Cost effective V&V for guidance systems using enhanced ground testing (EGT). In: IEEE AUTOTESTCON, 2015, National Harbor, MD, pp. 244–250 (2015)

    Google Scholar 

  6. Yadron, D., Tynan, D.: Tesla driver dies in first fatal crash while using autopilot mode. The Guardian (2016). Web. 20 July 2016

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jan Hodicky .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing AG

About this paper

Cite this paper

Hodicky, J. (2016). Autonomous Systems Operationalization Gaps Overcome by Modelling and Simulation. In: Hodicky, J. (eds) Modelling and Simulation for Autonomous Systems. MESAS 2016. Lecture Notes in Computer Science(), vol 9991. Springer, Cham. https://doi.org/10.1007/978-3-319-47605-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47605-6_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47604-9

  • Online ISBN: 978-3-319-47605-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics