QUASI-REAL-TIME PAVEMENT INSPECTION USING GPR AND AI IN THE CLOUD

Abstract

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.