Fine-Grained Detection of Pavement Distress Based on Integrated Data Using Digital Twin
The automated detection of distress such as cracks or potholes is a key basis for assessing the condition of pavements and deciding on their maintenance. A fine-grained pavement distress-detection algorithm based on integrated data using a digital twin is proposed to solve the challenges of the insu...
Main Authors: | Weidong Wang, Xinyue Xu, Jun Peng, Wenbo Hu, Dingze Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/13/7/4549 |
Similar Items
-
IMPACT OF IMAGE RESOLUTION ON PAVEMENT DISTRESS DETECTION USING PICUCHA METHODOLOGY
by: Reus Salini, et al.
Published: (2016-12-01) -
PAVEMENT DISTRESS DETECTION WITH PICUCHA METHODOLOGY FOR AREA-SCAN CAMERAS AND DARK IMAGES
by: Reus Salini, et al.
Published: (2017-04-01) -
Automated Distress Detection, Classification and Measurement for Asphalt Urban Pavements Using YOLO
by: Paulina Gómez-Conti, et al.
Published: (2023-08-01) -
Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines
by: Marco Guerrieri, et al.
Published: (2024-02-01) -
A review on automated pavement distress detection methods
by: Tom B.J. Coenen, et al.
Published: (2017-01-01)