QUASI-REAL-TIME PAVEMENT INSPECTION USING GPR AND AI IN THE CLOUD
-
- KAMOSHITA Tomohiro
- 応用地質株式会社 メンテナンス事業部
-
- TAKAHASHI Kazunori
- 応用地質株式会社 技術本部
-
- HADA Satoshi
- 応用地質株式会社 メンテナンス事業部
-
- FUKATSU Takuya
- 株式会社 Proxima Technology
Bibliographic Information
- Other Title
-
- 地中レーダによる路面下空洞調査・解析のAIクラウド解析を用いた準リアルタイム化
Abstract
<p>Pavement inspection is required to detect and report possibly collapsing spots as rapid as possible. We previously developed a GPR data analysis tool using AI to accelerate the data analysis process. We further developed a system that automatically transfers data and performs the analysis using AI on a cloud computing platform. The experiment with approximately 3 km of the survey showed that the data of sensors and results of the AI analysis became remotely available in approximately 36 minutes. The result suggested that the system is capable of significantly shortening the time required for remote inspectors to begin their tasks and reducing manual operations, which yields a significant improvement in the work efficiency of the overall pavement inspection project.</p>
Journal
-
- Intelligence, Informatics and Infrastructure
-
Intelligence, Informatics and Infrastructure 3 (J2), 168-174, 2022
Japan Society of Civil Engineers
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390012638715474432
-
- ISSN
- 24359262
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed