Autonomous Vehicle Design for Predator Proof Fence Monitoring

  • Silas Tullah
  • Heinz de Chelard
  • Milan SimicEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 76)


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.


Autonomous vehicle Fence monitoring Cable car Data acquisition 


  1. 1.
    Doelle, S.: Evaluation of predator-proof fenced biodiversity projects. In: Australian Agricultural and Resource Economics Society 56th Conference, Fremantle (2012)Google Scholar
  2. 2.
    Elbanhawi, M., Simic, M., Jazar, R.: The role of path continuity in lateral vehicle control. Procedia Comput. Sci. 60, 1289–1298 (2015)CrossRefGoogle Scholar
  3. 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)CrossRefGoogle Scholar
  4. 4.
    Elbanhawai, M., Simic, M.: Sampling-based robot motion planning: a review. IEEE Access PP(99) (2014)Google Scholar
  5. 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)CrossRefGoogle Scholar
  6. 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. 7.
    Simic, M., et al.: UAV recharging using non-contact wireless power transferGoogle Scholar
  8. 8.
    Simic, M., Bil, C., Vojisavljevic, V.: Investigation in wireless power transmission for UAV Charging. Procedia Comput. Sci. 60, 1846–1855 (2015)CrossRefGoogle Scholar
  9. 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. 10.
    Elbanhawai, M., Simic, M.: Randomised kinodynamic motion planning for an autonomous vehicle in semi-structured agricultural areas. Biosyst. Eng. 126, 30–44 (2014)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.School of EngineeringRMIT UniversityMelbourneAustralia
  2. 2.Catchment Health EngineeringHamiltonAustralia

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