Safe map generation after a disaster, assisted by an unmanned aerial vehicle tracking system

Maher Aljehani, Masahiro Inoue

研究成果: Article査読

6 被引用数 (Scopus)

抄録

This paper proposes a new method to build safe maps through disaster-stricken zones by taking advantage of different scenarios of tracking pedestrians and area scanning. Tracking is usually achieved by following the refugees' mobile devices. However, sometimes refugees do not hold mobiles to track them. To overcome this problem, we exploit the tracking systems of unmanned aerial vehicles (UAVs), which enable both image processing and mobile tracking depending on the scenario. UAV technology is a low-cost, flexible solution in missions that are difficult to execute by humans and other systems. After a disaster event, a safe map can be constructed from aerial imagery data of the moving pedestrians. Aerial data are also useful for evaluating damage in the stricken areas. The present study integrates UAVs into the Internet of Things, generating a pseudo scenario for the map generation. Experiments confirmed the usefulness of low-cost UAVs in tracking and scanning with and without smartphone tracking data.

本文言語English
ページ(範囲)271-282
ページ数12
ジャーナルIEEJ Transactions on Electrical and Electronic Engineering
14
2
DOI
出版ステータスPublished - 2019 2 1

ASJC Scopus subject areas

  • 電子工学および電気工学

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