Individual status recognition system assisted by UAV in post-disaster

Kakeru Ehara, Maher Aljehani, Taketoshi Yokemura, Masahiro Inoue

研究成果: Conference contribution

抄録

When natural disasters occur, there is a possibility of having many injured people in the disaster area. In the meanwhile, rescue teams have to aid these injured individuals as fast as possible. In this study, we proposed a recognition system of individual status to help rescue teams. Employing Unmanned Aerial Vehicles (UAVs) system after disaster occurrence gives many advantages. For instance, a UAV can cover a wide area and provide aerial photographs in a short period. This study aims to classify whether an individual status is standing, sitting, or lying on the ground by using supervised machine learning. Experiments revealed that the system is able to recognize all three types of individual status with an accuracy of 95.6%. Moreover, the authors confirmed the usefulness of using a UAV to recognize individuals in the post-disaster scenario.

本文言語English
ホスト出版物のタイトル2020 IEEE International Conference on Consumer Electronics, ICCE 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728151861
DOI
出版ステータスPublished - 2020 1
イベント2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States
継続期間: 2020 1 42020 1 6

出版物シリーズ

名前Digest of Technical Papers - IEEE International Conference on Consumer Electronics
2020-January
ISSN(印刷版)0747-668X

Conference

Conference2020 IEEE International Conference on Consumer Electronics, ICCE 2020
国/地域United States
CityLas Vegas
Period20/1/420/1/6

ASJC Scopus subject areas

  • 産業および生産工学
  • 電子工学および電気工学

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