On the Use of an Acoustic Sensor in the Tasks of Determining Defects in the Roadway

In this paper, an approach to determining pavement defects using an acoustic sensor is considered. The aim of the study is to propose the idea of developing an inexpensive method for detecting various types of damage to the roadway, such as cracks, potholes and irregularities, using acoustic analysis. In the course of the work, the characteristics of sound waves that occur when exposed to defective sections of the road surface were studied. The acoustic sensor allows you to analyze these sound signals and determine the presence and nature of defects based on their changes. The technique includes data collection using an acoustic sensor, signal processing using machine learning algorithms to classify defects and visualization of the results.