Código QR (código de barras bidimensional)

Automated Distress Detection, Classification and Measurement for Asphalt Urban Pavements Using YOLO

In pavement management, it is essential to have a good database with information on the condition of the roads that compose the corresponding network. In Chile, such a database does not currently exist, and there is no technology that can evaluate urban pavement condition in an efficient way. On thi...

Fuld beskrivelse

Na minha lista:
Principais autores: Paulina Gómez-Conti, Alelí Osorio-Lird, Héctor Allende-Cid
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-08-01
Serier:Engineering Proceedings
Fag:
asphalt pavement
urban pavements
distress detection
distress classification
deep learning
convolutional neural network
Online adgang:https://www.mdpi.com/2673-4591/36/1/58
Tags: Tilføj Tag
Ingen Tags, Vær først til at tagge denne postø!

Lignende værker