Underground tunnels are usually subject to water ingress that needs to be detected and monitored in time to follow its evolution. The first part of this study describes a setup to help detect and locate humidity and water ingress from a moving vehicle inside the tunnel being inspected. The second part explains how to monitor the evolution over the years of the problematic wet areas detected by comparing the inspection data obtained over the years.

This issue is technically addressed by acquiring thermal infrared movies as the vehicle is moving. Advanced infrared computer vision analysis is used to detect the wet or humid areas of the soil and tunnel's walls. The exact location along the tunnel is determined from geodetic markers installed at regular and known intervals inside the tunnel. They are identified by computer vision analysis from the video stream in the infrared spectrum.

La présentation sera donnée en français et les diapos seront en anglais.

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