Skip to main content

Autonomous Vehicle Design for Predator Proof Fence Monitoring

  • Conference paper
  • First Online:
Intelligent Interactive Multimedia Systems and Services 2017 (KES-IIMSS-18 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 76))

  • 1661 Accesses

Abstract

Research presented here focuses on developing a new mobile platform, an autonomous cable car, which can be implemented with minimal infrastructure additions, to new and existing reserves, for the reliable fence monitoring. Autonomous cable car solution for infrastructure monitoring is selected after comprehensive investigation in current practices and working environment properties. Inland conservation reserves rely on predator proof fencing in order to separate the conservation reserve from the surrounding environment. The critical infrastructure component, in terms of protecting the animals, and in terms of cost is the fence itself. It requires regular and frequent monitoring in order to maintain its integrity and its effectiveness. Currently used surveillance platforms are often not capable of meeting harsh outdoor requirements.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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. Doelle, S.: Evaluation of predator-proof fenced biodiversity projects. In: Australian Agricultural and Resource Economics Society 56th Conference, Fremantle (2012)

    Google Scholar 

  2. Elbanhawi, M., Simic, M., Jazar, R.: The role of path continuity in lateral vehicle control. Procedia Comput. Sci. 60, 1289–1298 (2015)

    Article  Google Scholar 

  3. Elbanhawai, M., Simic, M., Jazar, R.N.: Continuous path smoothing for car-like robots using B-Spline curves. J. Intell. Robot. Syst. 77(242), 23–56 (2015)

    Article  Google Scholar 

  4. Elbanhawai, M., Simic, M.: Sampling-based robot motion planning: a review. IEEE Access PP(99) (2014)

    Google Scholar 

  5. Krerngkamjornkit, R., Simic, M.: Human body detection in search and rescue operation conducted by unmanned aerial vehicles. Int. J. Adv. Mater. Res. 655-657, 1077–1085 (2013)

    Article  Google Scholar 

  6. Krerngkamjornkit, R., Simic, M.: Multi object detection and tracking from video file. In: The 2014 International Forum on Materials Processing Technology (IFMPT 2014), Guangzhou, China (2014)

    Google Scholar 

  7. Simic, M., et al.: UAV recharging using non-contact wireless power transfer

    Google Scholar 

  8. Simic, M., Bil, C., Vojisavljevic, V.: Investigation in wireless power transmission for UAV Charging. Procedia Comput. Sci. 60, 1846–1855 (2015)

    Article  Google Scholar 

  9. Meiser, R.H.V., Šeatović, D., Rotach, T., Hesselbarth, H.: Autonomous unmanned ground vehicle as sensor carrier for agricultural survey tasks. In: International Conference of Agricultural Engineering, Zurich (2014)

    Google Scholar 

  10. Elbanhawai, M., Simic, M.: Randomised kinodynamic motion planning for an autonomous vehicle in semi-structured agricultural areas. Biosyst. Eng. 126, 30–44 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Milan Simic .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Tullah, S., de Chelard, H., Simic, M. (2018). Autonomous Vehicle Design for Predator Proof Fence Monitoring. In: De Pietro, G., Gallo, L., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia Systems and Services 2017. KES-IIMSS-18 2018. Smart Innovation, Systems and Technologies, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-319-59480-4_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59480-4_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59479-8

  • Online ISBN: 978-3-319-59480-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics