• DocumentCode
    611566
  • Title

    WSN-based early alert system for preventing wildlife-vehicle collisions in alps regions - From the laboratory test to the real-world implementation

  • Author

    Viani, F. ; Robol, F. ; Salucci, Marco ; Giarola, E. ; De Vigili, S. ; Rocca, M. ; Boldrini, F. ; Benedetti, G. ; Massa, A.

  • Author_Institution
    ELEDIA Res. Center @ DISI, Univ. of Trento, Trento, Italy
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    1913
  • Lastpage
    1916
  • Abstract
    In this paper, the experimental validation of a WSN-based smart system for the prevention of road incidents due to wildlife road crossing is presented. The proposed wireless architecture integrates a multisensory hardware platform for the detection of movement patterns of wildlife along the monitored road sides. The adopted sensing technologies enable the extraction of heterogeneous movement features to be processed in real-time. The integration of data fusion strategies provides robust detection of warning events and the output triggers dedicated light signals when required. An experimental setup has been installed in real scenarios where the wildlife presence is detected. A selected set of results are reported to assess the capabilities and potentialities of the system.
  • Keywords
    intelligent sensors; object detection; radiotelemetry; sensor fusion; wireless sensor networks; Alps regions; WSN-based early alert system; WSN-based smart system; data fusion strategy; light signals; movement pattern detection; multisensory hardware platform; warning event detection; wildlife-vehicle collisions; wireless architecture; Monitoring; Roads; Security; Sensors; Wildlife; Wireless sensor networks; Wireless sensor network; distributed monitoring; road safety; sensors and actuators; smart environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2013 7th European Conference on
  • Conference_Location
    Gothenburg
  • Print_ISBN
    978-1-4673-2187-7
  • Electronic_ISBN
    978-88-907018-1-8
  • Type

    conf

  • Filename
    6546622