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  • Article title
  • Abstract
  • Key words
  • Introduction
  • Methods
    • Study site
    • Ungulate population dynamic simulation
    • Monitoring strategy
    • Monitoring program
    • Virtual and actual camera-trap data processing
      • Frequentation story simulation of the virtual camera traps
      • Deep learning algorithm training for wild boar and roe deer automatic detection
      • Frequentation story of the deployed camera traps
    • Abundance modelling
  • Results
    • Testing the sampling design
    • Modelling the simulated abundance of ungulate with simulated frequentation stories
    • Estimating the actual abundance of ungulates
      • Automatic species recognition
      • Mapping the actual abundance of ungulates
  • Discussion
    • Embedding biodiversity relevant sensors into the infrastructure
    • Developing performant artificial intelligence to recognise species involved in AVCs
    • From a static map of avc risk to real time driver information
    • Mainstreaming biodiversity in the digital twins of transport infrastructure
  • Acknowledgements
  • Additional information
    • Conflict of interest
    • Ethical statement
    • Funding
    • Author contributions
    • Author ORCIDs
    • Data availability
  • References
  • Supplementary material
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