Smart City Gnosys

Smart city article details

Title	Road Pavement Damage Detection Using Computer Vision Techniques: Approaches, Challenges And Opportunities; [Deteção De Defeitos Em Pavimentos Rodoviários Com Recurso A Técnicas De Visão Computacional: Abordagens, Desafios E Oportunidades]
ID_Doc	46743
Authors	Gonçalves M.; Marques T.; Gaspar P.D.; Soares V.N.G.J.; Caldeira J.M.L.P.
Year	2023
Published	Revista de Informatica Teorica e Aplicada, 30, 2
DOI	http://dx.doi.org/10.22456/2175-2745.129787
Abstract	The work presented in this paper is the result of a preliminary research aimed at using computer vision techniques for road pavement damage detection in the context of a smart city. It first introduces the related concepts. Then, it surveys the state of the art and existing solutions, presenting their main features, strengths and limitations. The most promising solutions are identified. Finally, it discusses open challenges and research directions in this area. © 2023, Federal University of Rio Grande do Sul, Institute of Informatics. All rights reserved.
Author Keywords	Computer Vision; Convolutional Neural Networks; Object Detection; Road Pavement Damage Detection; Smart Cities; Survey

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