“Uso de algoritmos para la identificación de imperfecciones en la calzada: Un mapeo sistemático”

Abstract

The vast majority of traffic accidents are caused by imperfections in the road, for this reason different artificial intelligence algorithms have been adapted for their detection. The purpose of this work is focused on the development of an analysis of the literature of the period between the last two decades that includes topics related to the use of artificial intelligence algorithms for the identification of imperfections in the road. The methodology used in this work is based on Systematic Mapping techniques, a process that consists of three stages: Protocol Definitions, Search Executions and Results Discussion. As a result of this analysis, 74 relevant articles were obtained according to the inclusion criteria where 41 algorithms and three approaches to identify imperfections in the road are proposed, with percentages of accuracy from 95.45% to 99.8%. The same ones that were obtained from repositories such as SciencieDirect, IEEE and Scopus.