Establishment of Work-Flow for Roof Damage Detection Utilizing Drones, Human and AI based on Human-in-the-Loop Framework

Munenari Inoguchi, Keiko Tamura, Ryota Hamamoto

研究成果: 書籍の章/レポート/会議録会議への寄与査読

4 被引用数 (Scopus)

抄録

Once disaster occurs, we have to understand the whole picture of damage situation. However, there is not enough human resources and time to do it. In 2019, we were affected by Yamagata earthquake, and many buildings were damaged in Murakami city. Most of buildings damage were concentrated on their roofs. Local responders tried to inspect those roof damage, however they cannot do it from ground. Against this issue, we decided to take images of roof damage utilizing drones. We designed the flight plan covering over affected area, operated a drone, and got images. Aftermath, we created orthophoto mosaic from those images. We published it for local responders to inspect roof damage of each building in the web-based GIS platform. Furthermore, we detect roof damage by human and let AI learn the result of our detection of roof damage. This is followed the framework of Human-in-the-Loop. Just now, accuracy of the roof-damage detection by AI was not so high. In this paper, we introduce the work-flow of this challenge from designing flight plan for drone to roof-damage detection by AI which is educated with images of actual damage situation after disaster occurrence.

本文言語英語
ホスト出版物のタイトルProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
編集者Chaitanya Baru, Jun Huan, Latifur Khan, Xiaohua Tony Hu, Ronay Ak, Yuanyuan Tian, Roger Barga, Carlo Zaniolo, Kisung Lee, Yanfang Fanny Ye
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4618-4623
ページ数6
ISBN(電子版)9781728108582
DOI
出版ステータス出版済み - 2019/12
イベント2019 IEEE International Conference on Big Data, Big Data 2019 - Los Angeles, 米国
継続期間: 2019/12/092019/12/12

出版物シリーズ

名前Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

学会

学会2019 IEEE International Conference on Big Data, Big Data 2019
国/地域米国
CityLos Angeles
Period2019/12/092019/12/12

ASJC Scopus 主題領域

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 情報システムおよび情報管理

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