Abstract
The paper presents an approach to the detection of road pavement defects on the streets and highways based on wavelet analysis of data obtained from an ultrasonic profilometer. The approach makes it possible to determine the location of pavement defects in relation to the road lane. The results of implementing the approach using the complex Morlet wavelet and the first derivative of the Gaussian function are presented. Implementation of the approach reduces the influence of interference arising during ultrasonic diagnosis.
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