Multisensory Surveillance Drone for Survivor Detection and Geolocalization in Complex Post-Disaster Environment

Budiman P.A. Rohman, M. B. Andra, H. F. Putra, D. H. Fandiantoro, Masahiko Nishimoto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

25 Citations (Scopus)

Abstract

The large scale natural disasters often result in a large death victim number and severe damage to buildings. Although some of the impacts can be reduced by the foreseeable future, they cannot be fully eliminated. In order to minimize the victim number, we propose a multisensory surveillance drone system employed an autonomous and robust unmanned aerial vehicle equipped with multiple sensors for specifically enhancing the search and rescue mission to detect the survivors in the post-disaster area. As the main sensors, we employ an ultra-wideband radar; microphone array, camera, and an RFID reader. For making the geolocalization of the detected survivors, we also employ laser range finder and LIDAR. This paper will discuss briefly the system design and the development progress of the project. Besides, the next step of the development is also presented.

Original languageEnglish
Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9368-9371
Number of pages4
ISBN (Electronic)9781538691540
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes
Event39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/TerritoryJapan
CityYokohama
Period28/07/192/08/19

Keywords

  • computer vision
  • detection and localization
  • disaster
  • microphone array
  • radio frequency identification
  • survivor
  • ultra-wideband radar

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