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A UAV-Driven Surveillance System to Support Rescue Intervention

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Computational Logistics (ICCL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11184))

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Abstract

In recent years, the intelligent surveillance systems have attracted many application domains, due to the increasing demand on security and safety. Unmanned Areal Vehicles (AUVs) represent the reliable, low-cost solution for mobile sensor node deployment, localization, and collection of measurements.

This paper presents a surveillance UAV-based system, aimed at understanding the scene situation by collecting raw data from the environment (by exploiting some possible sensor modalities: CCTV camera, infrared camera, thermal camera, radar, etc.), processing their fusion and yielding a semantic, high-level scenario description. UAV is able to recognize objects and the spatio-temporal relations with other objects and the environment. Moreover, UAV is able to individuate alerting situations and suggest a recommended intervention to humans. A Fuzzy cognitive map model is indeed, injected in the UAV: from the semantic description of the scenario, the UAV is able to deduct casual effect of occurring situations, that enhances the scenario understanding, especially when alarming situations are discovered.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria dell’Informazione ed Elettrica e Matematica Applicata, Universitá degli Studi di Salerno, Fisciano, Italy

    Danilo Cavaliere & Sabrina Senatore

  2. Dipartimento di Scienze Aziendali, Management e Innovation Systems, Universitá degli Studi di Salerno, Fisciano, Italy

    Vincenzo Loia

Authors
  1. Danilo Cavaliere
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  2. Vincenzo Loia
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  3. Sabrina Senatore
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Corresponding author

Correspondence to Sabrina Senatore .

Editor information

Editors and Affiliations

  1. University of Salerno, Fisciano, Italy

    Raffaele Cerulli

  2. University of Salerno, Fisciano, Italy

    Andrea Raiconi

  3. Institute of Information Systems, University of Hamburg, Hamburg, Germany

    Stefan Voß

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Cavaliere, D., Loia, V., Senatore, S. (2018). A UAV-Driven Surveillance System to Support Rescue Intervention. In: Cerulli, R., Raiconi, A., Voß, S. (eds) Computational Logistics. ICCL 2018. Lecture Notes in Computer Science(), vol 11184. Springer, Cham. https://doi.org/10.1007/978-3-030-00898-7_8

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  • DOI: https://doi.org/10.1007/978-3-030-00898-7_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00897-0

  • Online ISBN: 978-3-030-00898-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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