Improved YOLOv5-Based Real-Time Road Pavement Damage Detection in Road Infrastructure Management
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, making timely road repair difficult. This resear...
Main Authors: | Abdullah As Sami, Saadman Sakib, Kaushik Deb, Iqbal H. Sarker |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/16/9/452 |
Similar Items
-
Remote sensing image road network detection based on channel attention mechanism
by: Chuanhui Shan, et al.
Published: (2024-09-01) -
Crack Detection on Road Surfaces Based on Improved YOLOv8
by: Haiyang Wu, et al.
Published: (2024-01-01) -
OBC-YOLOv8: an improved road damage detection model based on YOLOv8
by: Shizheng Zhang, et al.
Published: (2025-01-01) -
Lightweight Model for Pavement Defect Detection Based on Improved YOLOv7
by: Peile Huang, et al.
Published: (2023-08-01) -
The construction of roads and pavements/
by: 335703 Agg, Thomas Radford
Published: (1940)