Smart Tunnel Inspection and Assessment using Mobile Inspection Vehicle, Non-Contact Radar and AI

We have developed a mobile survey vehicle with a high-precision laser scanner measurements for deformation analysis, 20 video cameras for damage assessment on lining surface such as cracks and water leakage, and also a non-contact radar to detect lining thickness and cavity behind lining. In this paper, we report the development of a noncontact radar survey system mounted on a mobile inspection vehicle to detect inner defects and cavities behind lining concrete, and examination of efficiency of utilizing an integrated diagnosis system to assess the soundness comprehensively as well as value of compiling database of various unsoundness conditions including inner defects by a 3D visualizing technology. It supports the technical experts to evaluate the diagnosis and the cause of the damage in the tunnel. It contributes to efficient damage detection for tunnel inspection based on AI (Artificial Intelligence) and 3D visualization of various damage conditions, including inner defects.