The Russian Federation has developed AI for accelerated analysis of defects on roads

Scientists from the Moscow Technical University of Communications and Informatics (MTUCI) and the Moscow Automobile and Road State Technical University (MARSTU) have created a technology for analyzing defects in the roadbed. Now it can be used to identify problems related to marking violations, potholes and other types of problems that similar solutions could not cope with.

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Combining acoustic analysis of pavement wear and AI is a relatively new and promising direction. Acoustic data can be used as an additional "modality" when using neural network models, Ksenia Polyantseva, acting deputy dean of the Faculty of Information Technologies (IT) for scientific work at MTUCI, told Izvestia.

"The developed model will make it possible to automate the processing of asphalt concrete pavement images obtained with the help of automobile-road scanners to assess the condition of the roadway. This will speed up the process of diagnostics and planning of repair works many times," she noted.

The technology is currently at the approbation stage and is used in road laboratories of MTUCI and MARSTU.