Intelligent search, rescue, and disaster recovery via internet of things

Yu Wei Kao, Hooman Samani, Shu Chiao Tasi, Brian Jalaian, Niranjan Suri, Mike Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we study the challenge of enabling an intelligent search, rescue, and disaster recovery operation via Internet of Things (IoT). This paper i) provides a practical research framework to study intelligent search, rescue, and disaster recovery missions, ii) reviews necessary fundamental machine learning algorithms required in object detection and path planning for intelligent search and rescue missions, and iii) demonstrates the feasibility of the proposed architecture using a proof-of-concept hardware-in-the-loop (HIL) simulator framework to support a specific rescue mission scenario. We present the IoT architecture for search, rescue, and disaster recovery missions and verify it by developing a proof-of-concept prototype.

Original languageEnglish
Title of host publicationGlobal IoT Summit, GIoTS 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781728121710
DOIs
Publication statusPublished - Jun 2019
Event3rd Global IoT Summit, GIoTS 2019 - Aarhus, Denmark
Duration: 17 Jun 201921 Jun 2019

Publication series

NameGlobal IoT Summit, GIoTS 2019 - Proceedings

Conference

Conference3rd Global IoT Summit, GIoTS 2019
Country/TerritoryDenmark
CityAarhus
Period17/06/1921/06/19

Keywords

  • Internet of Things
  • Machine Learning
  • Object Detection
  • Path Planning
  • Resource Allocation
  • UAV

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